{"info":{"_postman_id":"32f0542d-d638-4213-ae29-be4bfd0f0b1f","name":"Solcast API (dev-docs.solcast.com.au)","description":"

The Solcast API provides forecast, live and historical solar irradiance, PV power and weather data.

For more information and our complete product specifications please visit solcast.com.

Free Usage and Paid Subscription Options

Registration is free and access is instant. New users are granted a limited number of free any-location requests to each API endpoint, for testing and evaluation. See our pricing and plans page for details.

Once these free requests are exhausted, for most data products users can continue to make free requests to our Unmetered Locations for further API testing.

To begin using the API commercially, a paid subscription is required. For more details and to request a quote, see our pricing and plans page.

API Authentication

The Solcast API supports multiple authentication methods using your API key.

You get your API key by registering and signing into the Solcast API Toolkit.

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Method	Description
Query String	Add the \"api_key\" query string parameter to the URL of your request. https://api.solcast.com.au/data/forecast/radiation_and_weather?latitude=-33.8567&longitude=151.2152&api_key=YOUR_API_KEY
Bearer Token	Add your API key to the authorization header of your request: `Authorization: Bearer YOUR-API-KEY`
Basic	Use Basic authentication and provide your API key as the username with an empty password. For more information, see Basic access Authentication
Digest	Use Digest based authentication and provide your API key as the username with an empty password. For more information, see Digest access Authentication

Error Codes

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HTTP Code	Description
200 OK	A successful response.
202 Accepted	The request was accepted but does not include any data in the response. Refer to the message returned in the body of the response for more information.
400 Bad Request	The request may have included invalid parameters. For more information, refer to the message returned in the response's body.
401 Unauthorized	The request did not correctly include a valid API Key. Check the API Key used in the request is correct, active, and properly added to the request using one of the available authentication methods.
402 Payment Required	You may have exceeded the available transaction limit or the requested endpoint is not available on your current plan. Check the response body for the exact reason.
403 Forbidden	The request may include a parameter not available at your current subscription level.
429 Too Many Requests	The request exceeds the available rate limit at your current subscription level.
500 Internal Server Error	An internal error has prevented the request from processing.

Response Formats

All GET endpoints support JSON, CSV and HTML response formats by one of the following methods:

\"Accept\" HTTP request header, eg \"application/json\" for JSON
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\"format\" query string, eg https://api.solcast.com.au/data/forecast/radiation_and_weather?latitude=-33.8567&longitude=151.2152&format=json for JSON
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Endpoint suffix file extension, eg https://api.solcast.com.au/data/forecast/radiation_and_weather.json?latitude=-33.8567&longitude=151.2152 for JSON
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Exploration of data can use any of these data formats; however, we recommend only using JSON formats for integrations. Some endpoints support additional formats where necessary for 3rd party integration.

Common Response Formats

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Response Format	Accept HTTP Header Content Type	Query String Method	Description
HTML (default)	text/html	undefined, or format=html	HTML is the default response format if no option is specified.
JSON	application/json	format=json	Standard JSON format
CSV	text/csv	format=csv	Comma Separated Values plain text file.

Rate Limits

The enforced rate limit is determined by the product type and your active product plan. You can check your rate limit in the Solcast API Toolkit.

If a request exceeds the defined rate limit, it is rejected with the HTTP 429 Too Many Requests response.

For those with very high volume data requirements, please reach out to the Solcast team and we may grant access to an increased rate limit depending on the use case.

Unmetered Locations

These are selected locations that can be used when testing or evaluating data. Requests for data using the exact latitude and longitude combinations listed here will not reduce your number of available transactions.

Please note:

The required precision to match an Unmetered Location latitude and longitude has been reduced to four decimal places.
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The Unmetered Locations are not available for the Legacy products including Weather Sites, Utility Scale Sites, Rooftop Sites and World API.
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Location	Latitude	Longitude	Advanced PV Power Resource ID
Sydney Opera House	-33.8567	151.2152	ba75-e17a-7374-95ed
Grand Canyon	36.0997	-112.1124	375f-eb3e-71c0-ef5e
Stonehenge	51.1788	-1.8262	1a57-6b1f-ec18-c5c8
The Colosseum	41.8902	12.4922	5f86-4c8f-2cb3-0215
Giza Pyramid Complex	29.9772	31.1324	8d10-f530-af85-5cbb
Taj Mahal	27.1751	78.0421	b926-8fd2-ad3f-e4f5
Fort Peck (SURFRAD)	48.3078	-105.1017	3ae7-2456-492c-9aba
Goodwin Creek (SURFRAD)	34.2547	-89.8729	b787-cf17-e429-ef1d

Weather Type Parameter

The weather_type parameter specifies the general weather condition for the requested location and time. It contains a predefined set of simple, easy-to-understand categories that represent common weather scenarios. This parameter helps users quickly identify the expected weather without needing detailed meteorological data. The common use-case for weather_type is to show weather icons.

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Weather Type	Description
DAMAGING WIND	Winds strong enough to cause damage
THUNDERSTORM	Thunderstorm with rain falling
BLOWING SNOW	Falling snow being blown by the wind
RAIN	Rain falling
INTERMITTENT RAIN	Periods of rain and no rain
MIXED PRECIPITATION	Mix of frozen and liquid precipitation
SNOW	Snow falling
DRIZZLE	Drizzle falling
WINDY	Windy conditions
FOG	Foggy conditions
FROST	Cold, clear and still conditions conducive to formation of frost on exposed surfaces
OVERCAST	Overcast sky
MOSTLY CLOUDY	Mostly cloudy sky
PARTLY CLOUDY	Partly cloudy sky
HAZY	Hazy sky
MOSTLY SUNNY	Few clouds and sun is up
MOSTLY CLEAR	Few clouds and sun is set
SUNNY	Clear sky and sun is up
CLEAR	Clear sky and sun is set

Output Parameter Definitions

Irradiance and Weather

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Key	Unit	Description
air_temp	°C	The air temperature at 2 metres above surface level.
albedo	fraction	The average daytime surface reflectivity of visible light, expressed as a fractional value between 0 and 1. 0 represents complete absorption. 1 represents complete reflection. This is an interpolated daily average value, therefore does not capture any diurnal angular dependence of reflectivity.
azimuth	°	The angle between the horizontal direction of the sun, and due north, with negative angles eastwards and positive values westward . Varies from -180 to 180. A value of -90 means the sun is in the east, 0 means north, and 90 means west.
clearsky_dhi	W/m2	The diffuse irradiance received on a horizontal surface (if there are no clouds). Also referred to as Diffuse Sky Radiation. The diffuse component is irradiance that is scattered by the atmosphere, in the clear sky scenario, (i.e. no water or ice clouds in the sky).
clearsky_dni	W/m2	Irradiance received from the direct beam of the sun (if there are no clouds).. Also referred to as beam radiation.
clearsky_ghi	W/m2	Total irradiance on a horizontal surface (if there are no clouds). The sum of direct and diffuse irradiance components received on a horizontal surface, in the clear sky scenario, (i.e. no water or ice clouds in the sky).
clearsky_gti	W/m2	Total irradiance received on a surface, with defined tilt and azimuth for fixed or tracking systems as the sum of direct, diffuse and reflected irradiance components as if there were no clouds. If you specify an array_type of \"fixed\", you can optionally specify a tilt and azimuth, or else we assume default values (equatorward-facing azimuth, latitude-dependent tilt). If you specify an array_type of \"horizontal_single_axis\", you can specify the tracker axis angle as azimuth, or else we assume a default value of zero (i.e. tracker axis runs north-south). Tilt is ignored if provided for an array_type of \"horizontal_single_axis\".
cloud_opacity	%	The attenuation of incoming sunlight due to cloud. Varies from 0% (no cloud) to 100% (full attenuation of incoming sunlight).
cloud_opacity10	%	The attenuation of incoming sunlight due to cloud (10th percentile clearness). Varies from 0% (no cloud) to 100% (full attenuation of incoming sunlight). In the 10th percentile scenario of clearness.
cloud_opacity90	%	The attenuation of incoming sunlight due to cloud (90th percentile clearness). Varies from 0% (no cloud) to 100% (full attenuation of incoming sunlight). In the 90th percentile scenario of clearness.
dewpoint_temp	°C	The dewpoint temperature at 2 metres above surface level.
dhi	W/m2	The diffuse irradiance received on a horizontal surface. Also referred to as Diffuse Sky Radiation. The diffuse component is irradiance that is scattered by the atmosphere.
dhi10	W/m2	The diffuse irradiance received on a horizontal surface (10th percentile clearness).
dhi90	W/m2	The diffuse irradiance received on a horizontal surface (90th percentile clearness).
dni	W/m2	Irradiance received from the direction of the sun (10th percentile clearness). Also referred to as beam radiation.
dni10	W/m2	Irradiance received from the direction of the sun (10th percentile clearness). Also referred to as beam radiation. In the 10th percentile scenario of clearness (i.e. cloudier than expected).
dni90	W/m2	Irradiance received from the direction of the sun (10th percentile clearness). Also referred to as beam radiation. In the 90th percentile scenario of clearness (i.e. less cloudy than expected).
ghi	W/m2	Total irradiance on a horizontal surface. The sum of direct and diffuse irradiance components received on a horizontal surface.
ghi10	W/m2	Total irradiance on a horizontal surface (10th percentile clearness). The sum of direct and diffuse irradiance components received on a horizontal surface, in the 10th percentile scenario of clearness (i.e. cloudier than expected).
ghi90	W/m2	Total irradiance on a horizontal surface (90th percentile clearness). The sum of direct and diffuse irradiance components received on a horizontal surface, in the 90th percentile scenario of clearness (i.e. less cloudy than expected).
gti	W/m2	Total irradiance received on a surface with defined tilt and azimuth for fixed or tracking systems as the sum of direct, diffuse and reflected irradiance components. If you specify an array_type of \"fixed\", you can optionally specify a tilt and azimuth, or else we assume default values (equatorward-facing azimuth, latitude-dependent tilt). If you specify an array_type of \"horizontal_single_axis\", you can specify the tracker axis angle as azimuth, or else we assume a default value of zero (i.e. tracker axis runs north-south). Tilt is ignored if provided for an array_type of \"horizontal_single_axis\".
gti10	W/m2	Total irradiance received on a surface with defined tilt and azimuth (sum of direct, diffuse and reflected components), fixed or tracking (10th percentile clearness).
gti90	W/m2	Total irradiance received on a surface with defined tilt and azimuth (sum of direct, diffuse and reflected components), fixed or tracking (90th percentile clearness).
precipitable_water	kg/m2	Precipitable water of the entire atmospheric column.
precipitation_rate	mm/h	Precipitation rate. An estimate of the average precipitation rate during the selected period - not an accumulated value.
relative_humidity	%	The relative humidity at 2 metres above ground level. Relative humidity is the amount of water vapour as a percentage of the amount needed for saturation at the same temperature. A value of 50% means the air is 50% saturated.
surface_pressure	hPa	The air pressure at surface level.
snow_depth	cm	Snow pack depth. A measure of the physical snow pack on the ground.
snow_water_equivalent	cm	The snow depth liquid-water-equivalent.. The snow depth liquid-water-equivalent.
snow_soiling_rooftop	%	Loss in rooftop PV module (DC) production loss due to snow soiling. 0% means no snow soiling losses. 100% means snow is fully covering all modules. Soiling values are estimated using Solcast snowfall, irradiance and temperature data, following the method of Ryberg and Freeman (NREL, 2017), with Solcast proprietary extensions.
snow_soiling_ground	%	Loss in ground mounted PV module (DC) production loss due to snow soiling. 0% means no snow soiling losses. 100% means snow is fully covering all modules. Soiling values are estimated using Solcast snowfall, irradiance and temperature data, following the method of Ryberg and Freeman (NREL, 2017), with Solcast proprietary extensions. Snow clears faster in the Utility parameter, compared to the Rooftop parameter.
wind_direction_100m	°	Wind direction at 100m above ground level. Zero means true north. Varies from 0 to 360. A value of 270 means the wind is coming from the west
wind_direction_10m	°	Wind direction at 10m above ground level. Zero means true north. Varies from 0 to 360. A value of 270 means the wind is coming from the west
wind_speed_100m	m/s	Wind speed at 100m above ground level.
wind_speed_10m	m/s	Wind speed at 10m above ground level.
zenith	°	The angle between the direction of the sun, and the zenith (directly overhead). The zenith angle is 90 degrees at sunrise and sunset, and 0 degrees when the sun is directly overhead.
snowfall_rate	cm/h	The depth of snow falling per unit time. The snowfall rate is based on the water-equivalent amount of frozen precipitation falling per hour, converted to a solid snow depth using an estimate of the density of newly fallen snow. The snowfall rate will generally not match the change in the snow_depth output parameter over an hour. This is because snow_depth is also affected by other processes, such as melting, evaporation and changes in density of the total snow pack.
wind_gust	m/s	The maximum wind gust speed at 10m above ground level. The wind gust is based on the maximum 10m wind speed when averaged over 3 seconds. The wind gust can give a better indication of the damage potential of wind than the wind_speed_10m output parameter does.
cape	J/kg	Convective Available Potential Energy (CAPE) is the energy available for a thunderstorm. CAPE provides an estimate of the energy that a thunderstorm updraught will release as it rises and the water vapour it contains condenses to liquid water, releasing latent heat. It is a measure of deep atmospheric instability which is one of the necessary conditions for a thunderstorm. While large values of CAPE (many 100s to 1000s of J/kg) indicate a favourable environment for a thunderstorm to occur, to get a thunderstorm it is also necessary to have a triggering mechanism to initiate it, and other suitable environmental wind and moisture conditions to support its growth. Large values of CAPE, when combined with precipitation_rate output being > 0 can be used as a simple proxy for a thunderstorm event.
weather_type	string	A simple categorisation of the weather conditions.
min_air_temp	°C	The daily minimum air temperature at 2 metres above surface level.
max_air_temp	°C	The daily maximum air temperature at 2 metres above surface level.
pm10	µg/m³	The concentration of particulate matter with a diameter of less than 10 micrometers in the air.
pm2.5	µg/m³	The concentration of particulate matter with a diameter of less than 2.5 micrometers in the air.

Grid Aggregation

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Key	Unit	Description
pv_estimate	MW	PV power output (MW)
pv_estimate10	MW	PV power output (MW) 10th percentile
pv_estimate90	MW	PV power output (MW) 90th percentile
percentage	%	PV power output (%)
percentage10	%	PV power output (%) 10th percentile
percentage90	%	PV power output (%) 90th percentile

Rooftop PV Power

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Key	Unit	Description
pv_power_rooftop	kW	PV power output from the Rooftop PV Model. Output is in terms of inverter (AC) output.
pv_power_rooftop10	kW	PV power output from the Rooftop PV Model, based on 10th percentile clearness. Output is in terms of the inverter (AC) output, in the 10th percentile scenario of clearness (i.e. more cloudy than expected).
pv_power_rooftop90	kW	PV power output from the Rooftop PV Model, based on 90th percentile clearness. Output is in terms of the inverter (AC) output, in the 90th percentile scenario of clearness (i.e. less cloudy than expected).

Advanced PV Power

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Key	Unit	Description
pv_power_advanced	MW	PV power output from the Advanced PV Model. Output is in terms of inverter (AC) output.
pv_power_advanced10	MW	PV power output from the Advanced PV Model, based on 10th percentile clearness. Output is in terms of the inverter (AC) output, in the 10th percentile scenario of clearness (i.e. more cloudy than expected).
pv_power_advanced90	MW	PV power output from the Advanced PV Model, based on 90th percentile clearness. Output is in terms of the inverter (AC) output, in the 90th percentile scenario of clearness (i.e. less cloudy than expected).

Premium PV Power

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Key	Unit	Description
power	MW	Power output (AC).
power_p90	MW	Power output (AC) - 90% probability of exceedance.
power_p75	MW	Power output (AC) - 75% probability of exceedance.
power_p25	MW	Power output (AC) - 25% probability of exceedance.
power_p10	MW	Power output (AC) - 10% probability of exceedance.
curtailed_power	MW	Power output (AC) with availability and curtailments applied.
curtailed_power_p90	MW	Power output (AC) with availability and curtailments applied - 90% probability of exceedance.
curtailed_power_p75	MW	Power output (AC) with availability and curtailments applied - 75% probability of exceedance.
curtailed_power_p25	MW	Power output (AC) with availability and curtailments applied - 25% probability of exceedance.
curtailed_power_p10	MW	Power output (AC) with availability and curtailments applied - 10% probability of exceedance.
availability	%	Percentage of generation that is online.
curtailment	MW	Curtailment on generation.

Premium Wind Power

Key	Unit	Description
power	MW	Power output (AC).
power_p90	MW	Power output (AC) - 90% probability of exceedance.
power_p75	MW	Power output (AC) - 75% probability of exceedance.
power_p25	MW	Power output (AC) - 25% probability of exceedance.
power_p10	MW	Power output (AC) - 10% probability of exceedance.
curtailed_power	MW	Power output (AC) with availability and curtailments applied.
curtailed_power_p90	MW	Power output (AC) with availability and curtailments applied - 90% probability of exceedance.
curtailed_power_p75	MW	Power output (AC) with availability and curtailments applied - 75% probability of exceedance.
curtailed_power_p25	MW	Power output (AC) with availability and curtailments applied - 25% probability of exceedance.
curtailed_power_p10	MW	Power output (AC) with availability and curtailments applied - 10% probability of exceedance.
wind_direction_hub_height	degree	Wind direction at turbine hub height. Zero means true north. Varies from 0 to 360. A value of 270 means the wind is coming from the west
wind_speed_hub_height	m/s	Wind speed at turbine hub height.
wind_speed_hub_height_p90	m/s	Wind speed at turbine hub height - 90% probability of exceedance.
wind_speed_hub_height_p75	m/s	Wind speed at turbine hub height - 75% probability of exceedance.
wind_speed_hub_height_p25	m/s	Wind speed at turbine hub height - 25% probability of exceedance.
wind_speed_hub_height_p10	m/s	Wind speed at turbine hub height - 10% probability of exceedance.
availability	%	Percentage of generation that is online.
curtailment	MW	Curtailment on generation.

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Get irradiance and weather forecasts for the requested location from the present up to 14 days ahead, derived from satellite (clouds and irradiance over non-polar continental areas, now casted for approx. four hours ahead) and numerical weather models (other data and longer horizons).

\n","urlObject":{"path":["data","forecast","radiation_and_weather"],"host":["{{api_base}}"],"query":[{"description":{"content":"

The latitude of the location (EPSG:4326)

\n","type":"text/plain"},"key":"latitude","value":"{{latitude}}"},{"description":{"content":"

The longitude of the location (EPSG:4326)

\n","type":"text/plain"},"key":"longitude","value":"{{longitude}}"},{"description":{"content":"

Optional. Default is 48

Time window of the response in hours from 1 to 336

\n","type":"text/plain"},"key":"hours","value":"24"},{"description":{"content":"

Optional. Default is PT30M\nLength of the averaging period in ISO 8601 format (PT5M, PT10M, PT15M, PT20M, PT30M, PT60M)

\n","type":"text/plain"},"key":"period","value":"PT30M"},{"description":{"content":"

Optional. Default is air_temp, dni, ghi

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Optional. Default value is the optimal azimuth calculated from the latitude.

Can be specified when requesting gti. If you specify an array_type of \"fixed\", the azimuth is defined as the angle (degrees) from true north that the PV system is facing. If you specify an array_type of \"horizontal_single_axis\", the azimuth is defined as the tracker axis angle, or else we assume a default value of zero (i.e. tracker axis runs north-south). Azimuth values must be between -180 and 180. An azimuth of 0 means the system is facing true north. Positive values are anticlockwise, so azimuth is -90 for an east-facing system and 135 for a southwest-facing system. If you don't specify an azimuth, for array_type of \"fixed\" we use a default value of 0 (north facing) in the southern hemisphere and 180 (south-facing) in the northern hemisphere, and for array_type of \"horizontal_single_axis\" we use a default value of 0 (i.e. tracker axis runs north-south).

\n","type":"text/plain"},"key":"azimuth","value":"0"},{"disabled":true,"description":{"content":"

Optional. Default value is 23.

Can be specified when requesting any of gti. Only used when array_type is \"fixed\". The angle (degrees) that the PV system is tilted off the horizontal. Must be between 0 and 90. A tilt of 0 means the system faces directly upwards, and 90 means the system is vertical and facing the horizon. If you don't specify a tilt, we use a default tilt angle of 23 degrees.

\n","type":"text/plain"},"key":"tilt","value":"23"},{"disabled":true,"description":{"content":"

Optional (fixed, horizontal_single_axis)

\n","type":"text/plain"},"key":"array_type","value":"fixed"},{"disabled":true,"description":{"content":"

Optional. Default value is false. If true, irradiance parameters are modified based on the surrounding terrain from a 90m-horizontal-resolution digital elevation model. The direct component of irradiance is set to zero when the beam from the sun is blocked by the terrain. The diffuse component of irradiance is reduced throughout the day if the sky view at the location is significantly reduced by the surrounding terrain. Global irradiance incorporates both effects.

\n","type":"text/plain"},"key":"terrain_shading","value":"false"},{"description":{"content":"

Response format (json, csv)

\n","type":"text/plain"},"key":"format","value":"json"}],"variable":[]}},"response":[{"id":"9ee47c66-f629-4f92-8488-86794262a68e","name":"Get Irradiance and Weather Forecast","originalRequest":{"method":"GET","header":[],"url":{"raw":"https://api.solcast.com.au/data/forecast/radiation_and_weather?latitude=-33.8567&longitude=151.2152&hours=24&period=PT30M&output_parameters=air_temp,dni,ghi&format=json","protocol":"https","host":["api","solcast","com","au"],"path":["data","forecast","radiation_and_weather"],"query":[{"key":"latitude","value":"-33.8567","description":"The latitude of the location (EPSG:4326)"},{"key":"longitude","value":"151.2152","description":"The longitude of the location (EPSG:4326)"},{"key":"hours","value":"24","description":"Optional. Default is 48\n\nTime window of the response in hours from 1 to 336"},{"key":"period","value":"PT30M","description":"Optional. Default is PT30M\nLength of the averaging period in ISO 8601 format (PT5M, PT10M, PT15M, PT20M, PT30M, PT60M)"},{"key":"output_parameters","value":"air_temp,dni,ghi","description":"Optional. Default is air_temp,dni,ghi\n\nThe parameters to be included in the response. If not specified, the default response will include air_temp, dni and ghi."},{"key":"azimuth","value":"0","description":"Optional. Default value is the optimal azimuth calculated from the latitude.\n\nCan be specified when requesting gti. If you specify an array_type of \"fixed\", the azimuth is defined as the angle (degrees) from true north that the PV system is facing. If you specify an array_type of \"horizontal_single_axis\", the azimuth is defined as the tracker axis angle, or else we assume a default value of zero (i.e. tracker axis runs north-south). Azimuth values must be between -180 and 180. An azimuth of 0 means the system is facing true north. Positive values are anticlockwise, so azimuth is -90 for an east-facing system and 135 for a southwest-facing system. If you don't specify an azimuth, for array_type of \"fixed\" we use a default value of 0 (north facing) in the southern hemisphere and 180 (south-facing) in the northern hemisphere, and for array_type of \"horizontal_single_axis\" we use a default value of 0 (i.e. tracker axis runs north-south).","disabled":true},{"key":"tilt","value":"23","description":"Optional. Default value is 23.\n\nCan be specified when requesting any of gti. Only used when array_type is \"fixed\". The angle (degrees) that the PV system is tilted off the horizontal. Must be between 0 and 90. A tilt of 0 means the system faces directly upwards, and 90 means the system is vertical and facing the horizon. If you don't specify a tilt, we use a default tilt angle of 23 degrees.","disabled":true},{"key":"array_type","value":"fixed","description":"Optional (fixed, horizontal_single_axis)","disabled":true},{"key":"terrain_shading","value":"false","description":"Optional. Default value is false. If true, irradiance parameters are modified based on the surrounding terrain from a 90m-horizontal-resolution digital elevation model. The direct component of irradiance is set to zero when the beam from the sun is blocked by the terrain. The diffuse component of irradiance is reduced throughout the day if the sky view at the location is significantly reduced by the surrounding terrain. Global irradiance incorporates both effects.","disabled":true},{"key":"format","value":"json","description":"Response format (json, csv)"}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json; charset=utf-8"}],"cookie":[],"responseTime":null,"body":"{\n \"forecasts\": [\n {\n \"air_temp\": 12,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T11:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 12,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T12:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 12,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T12:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 12,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T13:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 12,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T13:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 12,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T14:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 12,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T14:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 12,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T15:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 12,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T15:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 12,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T16:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 12,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T16:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 12,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T17:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 11,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T17:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 11,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T18:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 11,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T18:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 11,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T19:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 11,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T19:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 11,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T20:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 11,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T20:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 11,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-17T21:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 11,\n \"dni\": 28,\n \"ghi\": 18,\n \"period_end\": \"2024-07-17T21:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 11,\n \"dni\": 159,\n \"ghi\": 73,\n \"period_end\": \"2024-07-17T22:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 11,\n \"dni\": 312,\n \"ghi\": 146,\n \"period_end\": \"2024-07-17T22:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 12,\n \"dni\": 428,\n \"ghi\": 224,\n \"period_end\": \"2024-07-17T23:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 12,\n \"dni\": 501,\n \"ghi\": 295,\n \"period_end\": \"2024-07-17T23:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 12,\n \"dni\": 568,\n \"ghi\": 363,\n \"period_end\": \"2024-07-18T00:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 13,\n \"dni\": 652,\n \"ghi\": 429,\n \"period_end\": \"2024-07-18T00:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 14,\n \"dni\": 736,\n \"ghi\": 487,\n \"period_end\": \"2024-07-18T01:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 15,\n \"dni\": 821,\n \"ghi\": 535,\n \"period_end\": \"2024-07-18T01:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 16,\n \"dni\": 886,\n \"ghi\": 564,\n \"period_end\": \"2024-07-18T02:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 16,\n \"dni\": 888,\n \"ghi\": 566,\n \"period_end\": \"2024-07-18T02:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 17,\n \"dni\": 880,\n \"ghi\": 551,\n \"period_end\": \"2024-07-18T03:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 17,\n \"dni\": 833,\n \"ghi\": 515,\n \"period_end\": \"2024-07-18T03:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 17,\n \"dni\": 727,\n \"ghi\": 454,\n \"period_end\": \"2024-07-18T04:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 17,\n \"dni\": 621,\n \"ghi\": 384,\n \"period_end\": \"2024-07-18T04:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 17,\n \"dni\": 543,\n \"ghi\": 313,\n \"period_end\": \"2024-07-18T05:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 17,\n \"dni\": 469,\n \"ghi\": 239,\n \"period_end\": \"2024-07-18T05:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 16,\n \"dni\": 356,\n \"ghi\": 160,\n \"period_end\": \"2024-07-18T06:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 16,\n \"dni\": 217,\n \"ghi\": 85,\n \"period_end\": \"2024-07-18T06:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 15,\n \"dni\": 68,\n \"ghi\": 25,\n \"period_end\": \"2024-07-18T07:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 14,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-18T07:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 14,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-18T08:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 13,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-18T08:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 13,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-18T09:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 12,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-18T09:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 12,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-18T10:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 12,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-18T10:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 11,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-18T11:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 11,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-07-18T11:30:00.0000000Z\",\n \"period\": \"PT30M\"\n }\n ]\n}"}],"_postman_id":"b7f362fb-1a9b-4392-a627-045d8e655c31"},{"name":"Get Rooftop PV Power Forecast","event":[{"listen":"test","script":{"id":"bd9e5d21-0527-41c5-a2a5-acb7c5c5cef6","exec":["pm.test(\"Response Content-Type is application/json\", function () {\r"," pm.expect(pm.response.headers.get(\"Content-Type\")).to.include(\"application/json\");\r","});\r","pm.test(\"Forecasts array is OK\", function () {\r"," const responseData = pm.response.json();\r"," \r"," pm.expect(responseData).to.be.an('object');\r"," pm.expect(responseData.forecasts).lengthOf.to.be.within(48, 49, \"Array incorrect length\");\r","\r"," responseData.forecasts.forEach(function(forecast) {\r"," pm.expect(forecast.period_end).to.match(/^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}.\\d{7}Z$/);\r"," pm.expect(forecast.pv_power_rooftop).to.be.a('number');\r"," pm.expect(forecast.period).equals('PT30M');\r"," });\r","});"],"type":"text/javascript","packages":{}}}],"id":"656de9c7-c42d-47db-98ac-a05bed7dab02","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{api_key}}"}]},"isInherited":false},"method":"GET","header":[],"url":"{{api_base}}/data/forecast/rooftop_pv_power?latitude={{latitude}}&longitude={{longitude}}&hours=24&period=PT30M&output_parameters=pv_power_rooftop&capacity=1&format=json","description":"

Get basic rooftop PV power forecasts from the present time up to 14 days ahead for the requested location, derived from satellite (clouds and irradiance over non-polar continental areas, nowcasted for approx. four hours ahead) and numerical weather models (other data and longer horizons).

The basic rooftop power simulation is only suitable for residential and smaller C&I rooftop sites, not for grid-scale sites.

Attention hobbyist users

If you have a hobbyist user account please use the Rooftop Sites (Hobbyist) endpoints.

\n","urlObject":{"path":["data","forecast","rooftop_pv_power"],"host":["{{api_base}}"],"query":[{"description":{"content":"

The latitude of the location (EPSG:4326)

\n","type":"text/plain"},"key":"latitude","value":"{{latitude}}"},{"description":{"content":"

The longitude of the location (EPSG:4326)

\n","type":"text/plain"},"key":"longitude","value":"{{longitude}}"},{"description":{"content":"

Optional. Default is 48

Time window of the response in hours from 1 to 336

\n","type":"text/plain"},"key":"hours","value":"24"},{"description":{"content":"

Optional. Default is PT30M

Length of the averaging period in ISO 8601 format (PT5M, PT10M, PT15M, PT20M, PT30M, PT60M)

\n","type":"text/plain"},"key":"period","value":"PT30M"},{"description":{"content":"

Optional. Default is pv_power_rooftop

\n","type":"text/plain"},"key":"output_parameters","value":"pv_power_rooftop"},{"description":{"content":"

The capacity of the inverter (AC) or the modules (DC), whichever is greater, in kilowatts (kW)

\n","type":"text/plain"},"key":"capacity","value":"1"},{"disabled":true,"description":{"content":"

Optional. Default value is the optimal azimuth calculated from the latitude.

The azimuth is defined as the angle (degrees) from true north that the PV system is facing. An azimuth of 0 means the system is facing true north. Positive values are anticlockwise, so azimuth is -90 for an east-facing system and 135 for a southwest-facing system. If you don't specify an azimuth, we use a default value of 0 (north facing) in the southern hemisphere and 180 (south-facing) in the northern hemisphere.

\n","type":"text/plain"},"key":"azimuth","value":"0"},{"disabled":true,"description":{"content":"

Optional. Default value is 23.

The angle (degrees) that the PV system is tilted off the horizontal. Must be between 0 and 90. A tilt of 0 means the system faces directly upwards, and 90 means the system is vertical and facing the horizon. If you don't specify a tilt, we use a default tilt angle of 23 degrees.

\n","type":"text/plain"},"key":"tilt","value":"23"},{"disabled":true,"description":{"content":"

Optional. Default is 0.90

A factor to reduce your output forecast from the full capacity based on characteristics of the PV array or inverter. This is effectively the non-temperature loss effects on the nameplate rating of the PV system, including inefficiency and soiling. For a 1kW PV system anything that reduces 1000W/m2 solar radiation from producing 1000W of power output (assuming temperature is 25C). Valid values are between 0 and 1 (i.e. 0.6 equals 60%). If you specify 0.6 your returned power will be a maximum of 60% of AC capacity.

\n","type":"text/plain"},"key":"loss_factor","value":"0.90"},{"disabled":true,"description":{"content":"

Optional

The date (yyyy-MM-dd) of installation of the PV system. We use this to estimate your loss_factor based on the ageing of your system. If you provide us with a loss_factor directly, we will ignore this date.

\n","type":"text/plain"},"key":"install_date","value":"2020-12-30"},{"disabled":true,"description":{"content":"

\n","type":"text/plain"},"key":"terrain_shading","value":"false"},{"description":{"content":"

Response format (json, csv)

\n","type":"text/plain"},"key":"format","value":"json"}],"variable":[]}},"response":[{"id":"86a1271d-cb00-4d2a-9b4b-d7987d23d8c8","name":"Get Rooftop PV Power Forecast","originalRequest":{"method":"GET","header":[],"url":{"raw":"https://api.solcast.com.au/data/forecast/rooftop_pv_power?latitude=-33.8567&longitude=151.2152&hours=24&period=PT30M&output_parameters=pv_power_rooftop&capacity=1&format=json","protocol":"https","host":["api","solcast","com","au"],"path":["data","forecast","rooftop_pv_power"],"query":[{"key":"latitude","value":"-33.8567","description":"The latitude of the location (EPSG:4326)"},{"key":"longitude","value":"151.2152","description":"The longitude of the location (EPSG:4326)"},{"key":"hours","value":"24","description":"Optional. Default is 48\n\nTime window of the response in hours from 1 to 336"},{"key":"period","value":"PT30M","description":"Optional. Default is PT30M\n\nLength of the averaging period in ISO 8601 format (PT5M, PT10M, PT15M, PT20M, PT30M, PT60M)"},{"key":"output_parameters","value":"pv_power_rooftop","description":"Optional. Default is pv_power_rooftop"},{"key":"capacity","value":"1","description":"The capacity of the inverter (AC) or the modules (DC), whichever is greater, in kilowatts (kW)"},{"key":"azimuth","value":"0","description":"Optional. Default value is the optimal azimuth calculated from the latitude.\n\nThe azimuth is defined as the angle (degrees) from true north that the PV system is facing. An azimuth of 0 means the system is facing true north. Positive values are anticlockwise, so azimuth is -90 for an east-facing system and 135 for a southwest-facing system. If you don't specify an azimuth, we use a default value of 0 (north facing) in the southern hemisphere and 180 (south-facing) in the northern hemisphere.","disabled":true},{"key":"tilt","value":"23","description":"Optional. Default value is 23.\n\nThe angle (degrees) that the PV system is tilted off the horizontal. Must be between 0 and 90. A tilt of 0 means the system faces directly upwards, and 90 means the system is vertical and facing the horizon. If you don't specify a tilt, we use a default tilt angle of 23 degrees.","disabled":true},{"key":"loss_factor","value":"0.90","description":"Optional. Default is 0.90\n\nA factor to reduce your output forecast from the full capacity based on characteristics of the PV array or inverter. This is effectively the non-temperature loss effects on the nameplate rating of the PV system, including inefficiency and soiling. For a 1kW PV system anything that reduces 1000W/m2 solar radiation from producing 1000W of power output (assuming temperature is 25C). Valid values are between 0 and 1 (i.e. 0.6 equals 60%). If you specify 0.6 your returned power will be a maximum of 60% of AC capacity.","disabled":true},{"key":"install_date","value":"2020-12-30","description":"Optional\n\nThe date (yyyy-MM-dd) of installation of the PV system. We use this to estimate your loss_factor based on the ageing of your system. If you provide us with a loss_factor directly, we will ignore this date.","disabled":true},{"key":"terrain_shading","value":"false","description":"Optional. Default value is false. If true, irradiance parameters are modified based on the surrounding terrain from a 90m-horizontal-resolution digital elevation model. The direct component of irradiance is set to zero when the beam from the sun is blocked by the terrain. The diffuse component of irradiance is reduced throughout the day if the sky view at the location is significantly reduced by the surrounding terrain. Global irradiance incorporates both effects.","disabled":true},{"key":"format","value":"json","description":"Response format (json, csv)"}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json; charset=utf-8"}],"cookie":[],"responseTime":null,"body":"{\n \"forecasts\": [\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T11:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T12:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T12:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T13:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T13:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T14:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T14:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T15:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T15:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T16:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T16:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T17:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T17:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T18:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T18:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T19:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T19:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T20:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T20:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-17T21:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.009,\n \"period_end\": \"2024-07-17T21:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.085,\n \"period_end\": \"2024-07-17T22:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.193,\n \"period_end\": \"2024-07-17T22:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.294,\n \"period_end\": \"2024-07-17T23:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.378,\n \"period_end\": \"2024-07-17T23:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.454,\n \"period_end\": \"2024-07-18T00:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.528,\n \"period_end\": \"2024-07-18T00:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.59,\n \"period_end\": \"2024-07-18T01:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.641,\n \"period_end\": \"2024-07-18T01:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.671,\n \"period_end\": \"2024-07-18T02:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.671,\n \"period_end\": \"2024-07-18T02:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.656,\n \"period_end\": \"2024-07-18T03:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.619,\n \"period_end\": \"2024-07-18T03:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.551,\n \"period_end\": \"2024-07-18T04:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.472,\n \"period_end\": \"2024-07-18T04:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.394,\n \"period_end\": \"2024-07-18T05:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.31,\n \"period_end\": \"2024-07-18T05:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.211,\n \"period_end\": \"2024-07-18T06:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.108,\n \"period_end\": \"2024-07-18T06:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.02,\n \"period_end\": \"2024-07-18T07:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-18T07:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-18T08:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-18T08:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-18T09:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-18T09:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-18T10:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-18T10:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-18T11:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-07-18T11:30:00.0000000Z\",\n \"period\": \"PT30M\"\n }\n ]\n}"}],"_postman_id":"656de9c7-c42d-47db-98ac-a05bed7dab02"},{"name":"Get Advanced PV Power Forecast","event":[{"listen":"test","script":{"id":"c3d78338-9a4b-40c7-90cb-42e6c5a6b56f","exec":["pm.test(\"Response Content-Type is application/json\", function () {\r"," pm.expect(pm.response.headers.get(\"Content-Type\")).to.include(\"application/json\");\r","});\r","pm.test(\"Forecasts array is OK\", function () {\r"," const responseData = pm.response.json();\r"," \r"," pm.expect(responseData).to.be.an('object');\r"," pm.expect(responseData.forecasts).lengthOf.to.be.within(48, 49, \"Array incorrect length\");\r","\r"," responseData.forecasts.forEach(function(forecast) {\r"," pm.expect(forecast.period_end).to.match(/^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}.\\d{7}Z$/);\r"," pm.expect(forecast.pv_power_advanced).to.be.a('number');\r"," pm.expect(forecast.period).equals('PT30M');\r"," });\r","});"],"type":"text/javascript","packages":{},"requests":{}}}],"id":"98ff93b7-9461-4aee-81da-0ef04d10d3ff","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{api_key}}"}]},"isInherited":false},"method":"GET","header":[],"url":"{{api_base}}/data/forecast/advanced_pv_power?resource_id={{advanced_pv_power_resource_id}}&hours=24&period=PT30M&output_parameters=pv_power_advanced,pv_power_advanced10,pv_power_advanced90&format=json","description":"

Get high-spec PV power forecasts for the requested site from the present up to 14 days ahead, derived from satellite (clouds and irradiance over non-polar continental areas, nowcasted for approx. four hours ahead) and numerical weather models (other data and longer horizons).

\n","urlObject":{"path":["data","forecast","advanced_pv_power"],"host":["{{api_base}}"],"query":[{"key":"resource_id","value":"{{advanced_pv_power_resource_id}}"},{"description":{"content":"

Optional. Number of hours of forecasts to be included in the response

\n","type":"text/plain"},"key":"hours","value":"24"},{"description":{"content":"

Optional. Length of the averaging period in iSO8601 duration format. Allowed values are PT5M, PT10M, PT15M and PT30M

\n","type":"text/plain"},"key":"period","value":"PT30M"},{"description":{"content":"

Optional. Specify which output parameters you need.

\n","type":"text/plain"},"key":"output_parameters","value":"pv_power_advanced,pv_power_advanced10,pv_power_advanced90"},{"disabled":true,"description":{"content":"

Optional. Percentage of the site’s total AC (inverter) capacity that is currently generating or expected to be generating during the forecast request period. E.g. if you specify a 50% availability, your returned power will be half of what it otherwise would be.

\n","type":"text/plain"},"key":"apply_availability","value":"100"},{"disabled":true,"description":{"content":"

Optional. Constraint on site’s total AC production, applied as a cap in the same way as the metadata parameter Site Export Limit. This will constrain all Solcast power values to be no higher than the apply_constraint value you specify. If you need an unconstrained forecast, you should not use this parameter.

\n","type":"text/plain"},"key":"apply_constraint","value":""},{"disabled":true,"description":{"content":"

Optional. A user-override for dust_soiling_average. If you specify this parameter in your API call, we will replace the site's annual or monthly average dust soiling values with the value you specify in your API call.E.g. if you specify a 0.7 dust soiling, your returned power will be reduced by 70%

\n","type":"text/plain"},"key":"apply_dust_soiling","value":""},{"disabled":true,"description":{"content":"

Optional. A user-override for Solcast’s dynamic snow soiling, which is based on global snow cover and weather forecast data, and changes from hour to hour. If you specify this parameter in your API call (e.g. if snow clearing has just been performed), we will replace the Solcast dynamic hour to hour value with the single value you specify. E.g. if you specify a 0.7 snow soiling, your returned power will be reduced by 70%.

\n","type":"text/plain"},"key":"apply_snow_soiling","value":""},{"disabled":true,"description":{"content":"

Optional. Indicating if trackers are inactive. If True, panels are assumed all facing up (i.e. zero rotation). Only has effect if your site has a tracking_type that is not “fixed”.

\n","type":"text/plain"},"key":"apply_tracker_inactive","value":"false"},{"disabled":true,"description":{"content":"

\n","type":"text/plain"},"key":"terrain_shading","value":"false"},{"description":{"content":"

Response format (json, csv)

\n","type":"text/plain"},"key":"format","value":"json"}],"variable":[]}},"response":[{"id":"98ec685b-e6af-4b10-aefe-69923efbd670","name":"Get Advanced PV Power Forecast","originalRequest":{"method":"GET","header":[],"url":{"raw":"https://api.solcast.com.au/data/forecast/advanced_pv_power?resource_id=ba75-e17a-7374-95ed&hours=24&period=PT30M&output_parameters=pv_power_advanced,pv_power_advanced10,pv_power_advanced90&format=json","protocol":"https","host":["api","solcast","com","au"],"path":["data","forecast","advanced_pv_power"],"query":[{"key":"resource_id","value":"ba75-e17a-7374-95ed"},{"key":"hours","value":"24","description":"Optional. Number of hours of forecasts to be included in the response"},{"key":"period","value":"PT30M","description":"Optional. Length of the averaging period in iSO8601 duration fromat. Allowed values are PT5M, PT10M, PT15M and PT30M"},{"key":"output_parameters","value":"pv_power_advanced,pv_power_advanced10,pv_power_advanced90","description":"Optional. Specify which output parameters you need."},{"key":"apply_availability","value":"100","description":"Optional. Percentage of the site’s total AC (inverter) capacity that is currently generating or expected to be generating during the forecast request period. E.g. if you specify a 50% availability, your returned power will be half of what it otherwise would be.\n","disabled":true},{"key":"apply_constraint","value":"","description":"Optional. Constraint on site’s total AC production, applied as a cap in the same way as the metadata parameter Site Export Limit. This will constrain all Solcast power values to be no higher than the apply_constraint value you specify. If you need an unconstrained forecast, you should not use this parameter.","disabled":true},{"key":"apply_dust_soiling","value":"","description":"Optional. A user-override for dust_soiling_average. If you specify this parameter in your API call, we will replace the site's annual or monthly average dust soiling values with the value you specify in your API call.E.g. if you specify a 0.7 dust soiling, your returned power will be reduced by 70%\n","disabled":true},{"key":"apply_snow_soiling","value":"","description":"Optional. A user-override for Solcast’s dynamic snow soiling, which is based on global snow cover and weather forecast data, and changes from hour to hour. If you specify this parameter in your API call (e.g. if snow clearing has just been performed), we will replace the Solcast dynamic hour to hour value with the single value you specify. E.g. if you specify a 0.7 snow soiling, your returned power will be reduced by 70%.\n","disabled":true},{"key":"apply_tracker_inactive","value":"false","description":"Optional. Indicating if trackers are inactive. If True, panels are assumed all facing up (i.e. zero rotation). Only has effect if your site has a tracking_type that is not “fixed”.","disabled":true},{"key":"terrain_shading","value":"false","description":"Optional. Default value is false. If true, irradiance parameters are modified based on the surrounding terrain from a 90m-horizontal-resolution digital elevation model. The direct component of irradiance is set to zero when the beam from the sun is blocked by the terrain. The diffuse component of irradiance is reduced throughout the day if the sky view at the location is significantly reduced by the surrounding terrain. Global irradiance incorporates both effects.","disabled":true},{"key":"format","value":"json","description":"Response format (json, csv)"}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json; charset=utf-8"}],"cookie":[],"responseTime":null,"body":"{\n \"forecasts\": [\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T11:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T12:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T12:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T13:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T13:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T14:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T14:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T15:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T15:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T16:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T16:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T17:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T17:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T18:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T18:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T19:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T19:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T20:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T20:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-17T21:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0.225,\n \"pv_power_advanced10\": 0.039,\n \"pv_power_advanced90\": 0.351,\n \"period_end\": \"2024-07-17T21:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 1.339,\n \"pv_power_advanced10\": 0.325,\n \"pv_power_advanced90\": 2.344,\n \"period_end\": \"2024-07-17T22:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 3.292,\n \"pv_power_advanced10\": 0.972,\n \"pv_power_advanced90\": 4.861,\n \"period_end\": \"2024-07-17T22:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 5.529,\n \"pv_power_advanced10\": 1.809,\n \"pv_power_advanced90\": 7.321,\n \"period_end\": \"2024-07-17T23:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 6.884,\n \"pv_power_advanced10\": 2.547,\n \"pv_power_advanced90\": 8.653,\n \"period_end\": \"2024-07-17T23:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 7.149,\n \"pv_power_advanced10\": 3.23,\n \"pv_power_advanced90\": 8.455,\n \"period_end\": \"2024-07-18T00:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 7.311,\n \"pv_power_advanced10\": 3.572,\n \"pv_power_advanced90\": 8.127,\n \"period_end\": \"2024-07-18T00:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 7.296,\n \"pv_power_advanced10\": 3.776,\n \"pv_power_advanced90\": 7.764,\n \"period_end\": \"2024-07-18T01:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 7.269,\n \"pv_power_advanced10\": 3.973,\n \"pv_power_advanced90\": 7.461,\n \"period_end\": \"2024-07-18T01:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 7.27,\n \"pv_power_advanced10\": 4.14,\n \"pv_power_advanced90\": 7.279,\n \"period_end\": \"2024-07-18T02:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 7.254,\n \"pv_power_advanced10\": 4.134,\n \"pv_power_advanced90\": 7.254,\n \"period_end\": \"2024-07-18T02:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 7.388,\n \"pv_power_advanced10\": 3.955,\n \"pv_power_advanced90\": 7.388,\n \"period_end\": \"2024-07-18T03:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 7.526,\n \"pv_power_advanced10\": 3.669,\n \"pv_power_advanced90\": 7.64,\n \"period_end\": \"2024-07-18T03:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 7.459,\n \"pv_power_advanced10\": 3.28,\n \"pv_power_advanced90\": 7.943,\n \"period_end\": \"2024-07-18T04:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 7.23,\n \"pv_power_advanced10\": 2.847,\n \"pv_power_advanced90\": 8.247,\n \"period_end\": \"2024-07-18T04:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 6.949,\n \"pv_power_advanced10\": 2.214,\n \"pv_power_advanced90\": 8.488,\n \"period_end\": \"2024-07-18T05:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 5.828,\n \"pv_power_advanced10\": 1.612,\n \"pv_power_advanced90\": 7.449,\n \"period_end\": \"2024-07-18T05:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 3.702,\n \"pv_power_advanced10\": 0.988,\n \"pv_power_advanced90\": 5.052,\n \"period_end\": \"2024-07-18T06:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 1.701,\n \"pv_power_advanced10\": 0.379,\n \"pv_power_advanced90\": 2.557,\n \"period_end\": \"2024-07-18T06:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0.343,\n \"pv_power_advanced10\": 0.072,\n \"pv_power_advanced90\": 0.472,\n \"period_end\": \"2024-07-18T07:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-18T07:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-18T08:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-18T08:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-18T09:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-18T09:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-18T10:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-18T10:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"pv_power_advanced10\": 0,\n \"pv_power_advanced90\": 0,\n \"period_end\": \"2024-07-18T11:00:00.0000000Z\",\n \"period\": \"PT30M\"\n 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Retrieve premium PV power forecast with availability and curtailment schedules.

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Optional. Length of the averaging period in iSO8601 duration format. Allowed values are PT5M, PT10M, PT15M, PT20M, PT30M, and PT60M

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Optional. Number of hours of forecasts to be included in the response

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Retrieve premium Wind power forecast with availability and curtailment schedules.

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Optional. Length of the averaging period in iSO8601 duration format. Allowed values are PT5M, PT10M, PT15M, PT20M, PT30M, and PT60M

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Optional. Number of hours of forecasts to be included in the response

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Response format (json, csv).

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Get soiling loss forecasts using the Kimber model for the requested location from the present up to 14 days ahead.

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The latitude of the location (EPSG:4326)

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The longitude of the location (EPSG:4326)

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Optional. Default is 0.0015\nFraction of energy lost due to one day of soiling.

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Optional. Default is 0.3\nMaximum fraction of energy lost due to soiling. Soiling will build up until this value.

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Optional. Default is 0\nInitial fraction of energy lost due to soiling at time zero in the rainfall series input.

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Optional. A list of ISO_8601 compliant dates or a repeating interval when manual cleaning of the panels occurred.\nA list of dates example: [2025-01-01,2025-01-05,2025-01-10]\nA repeating interval example: R3/2025-01-01T00:00:00Z/P14D\nWash dates outside of the start and end of the request are discarded.

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Response format (json, csv)

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\"period_end\": \"2026-02-12T14:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-12T15:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-12T15:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-12T16:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-12T16:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-12T17:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-12T17:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-12T18:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-12T18:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-12T19:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-12T19:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-12T20:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-12T20:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-12T21:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-12T21:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-12T22:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-12T22:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-12T23:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-12T23:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-13T00:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"kimber_loss_fraction\": 0,\n \"period_end\": \"2026-02-13T00:30:00+00:00\",\n \"period\": \"PT30M\"\n }\n ]\n}"}],"_postman_id":"b61a6f50-41de-4941-a17d-23498070b448"},{"name":"Get HSU Soiling Losses Forecast","event":[{"listen":"test","script":{"id":"8559b81c-b05e-42ca-849a-426357e8968d","exec":["pm.test(\"Response Content-Type is application/json\", function () {\r"," pm.expect(pm.response.headers.get(\"Content-Type\")).to.include(\"application/json\");\r","});\r","pm.test(\"Forecasts array is OK\", function () {\r"," const responseData = pm.response.json();\r"," \r"," pm.expect(responseData).to.be.an('object');\r"," pm.expect(responseData.forecasts).lengthOf.to.be.within(48, 49, \"Array incorrect length\");\r","\r"," responseData.forecasts.forEach(function(forecast) {\r"," pm.expect(forecast.period_end).to.match(/^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\+\\d{2}:\\d{2}$/);\r"," pm.expect(forecast.hsu_loss_fraction).to.be.a('number');\r"," pm.expect(forecast.period).equals('PT30M');\r"," });\r","});"],"type":"text/javascript","packages":{},"requests":{}}}],"id":"58505419-7a77-410b-ac19-29033eaf8741","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{api_key}}"}]},"isInherited":false},"method":"GET","header":[],"url":"{{api_base}}/data/forecast/soiling/hsu?latitude={{latitude}}&longitude={{longitude}}&hours=24&period=PT30M&format=json","description":"

Get soiling loss forecasts using the HSU model for the requested location from the present up to 14 days ahead.

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Required. Float. The latitude of the location (EPSG:4326).

\n","type":"text/plain"},"key":"latitude","value":"{{latitude}}"},{"description":{"content":"

Required. Float. The longitude of the location (EPSG:4326).

\n","type":"text/plain"},"key":"longitude","value":"{{longitude}}"},{"description":{"content":"

Optional. Int. Default is 24.\nTime window of the response in hours from 1 to 336.

\n","type":"text/plain"},"key":"hours","value":"24"},{"description":{"content":"

Optional. String. Default is PT30M.\nLength of the averaging period in ISO 8601 format (PT5M, PT10M, PT15M, PT20M, PT30M, PT60M).

\n","type":"text/plain"},"key":"period","value":"PT30M"},{"disabled":true,"description":{"content":"

Optional. Int. Default value is the optimal tilt calculated from the latitude.\nThe angle (degrees) that the PV system is tilted off the horizontal. Must be between 0 and 90. A tilt of 0 means the system faces directly upwards, and 90 means the system is vertical and facing the horizon.

\n","type":"text/plain"},"key":"tilt","value":"0"},{"disabled":true,"description":{"content":"

Optional. Float. Default is 0.0009.\nDeposition or settling velocity of PM2.5 particulates. [m/s]

\n","type":"text/plain"},"key":"depo_veloc_pm2_5","value":"0.0009"},{"disabled":true,"description":{"content":"

Optional. Float. Default is 0.004.\nDeposition or settling velocity of PM10 particulates. [m/s]

\n","type":"text/plain"},"key":"depo_veloc_pm10","value":"0.004"},{"disabled":true,"description":{"content":"

Optional. Float. Must be >= 0 and < 0.3437.\nInitial percentage of energy lost due to soiling at time zero in the rainfall series input. If not provided, Solcast will perform a ramp up series calculation to accurately determine this value.

\n","type":"text/plain"},"key":"initial_soiling","value":"0"},{"disabled":true,"description":{"content":"

Optional. List[String]. Default is None.\nA list of ISO_8601 compliant dates or a repeating interval when manual cleaning of the panels occurred. A list of dates example: [2025-01-01,2025-01-05,2025-01-10] A repeating interval example: R3/2025-01-01T00:00:00Z/P14D Wash dates outside of the start and end of the request are discarded.

\n","type":"text/plain"},"key":"manual_wash_dates","value":"[2022-10-26,2025-11-14,2025-11-26]"},{"disabled":true,"description":{"content":"

Optional. Float. Default is 1.0.\nAmount of daily rainfall required to clean the panels. (mm)

\n","type":"text/plain"},"key":"cleaning_threshold","value":"1.0"},{"disabled":true,"description":{"content":"

Optional. Default is utc \nTimezone to return in data set. Accepted values are utc, longitudinal, or a range from -13 to 13 in 0.25 hour increments for utc offset.

\n","type":"text/plain"},"key":"time_zone","value":"utc"},{"description":{"content":"

Response format (json, csv)

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Default is PT30M.\nLength of the averaging period in ISO 8601 format (PT5M, PT10M, PT15M, PT20M, PT30M, PT60M).","type":"text","disabled":true},{"key":"tilt","value":"0","description":"Optional. Int. Default value is the optimal tilt calculated from the latitude.\nThe angle (degrees) that the PV system is tilted off the horizontal. Must be between 0 and 90. A tilt of 0 means the system faces directly upwards, and 90 means the system is vertical and facing the horizon.","type":"text","disabled":true},{"key":"pm2_5","value":"[2.6]","description":"Restricted. List[Float]. A list of PM2.5 values.\nConcentration of airborne particulate matter (PM) with aerodynamic diameter less than 2.5 microns. [g/m^3] HSU endpoint will internally use Solcast's PM2.5 values tailored to your request time period.","type":"text","disabled":true},{"key":"pm10","value":"[2.5]","description":"Restricted. List[Float]. A list of PM10 values..\nConcentration of airborne particulate matter (PM) with aerodynamicdiameter less than 10 microns. [g/m^3] HSU endpoint will internally use Solcast's PM10 values tailored to your request time period.","type":"text","disabled":true},{"key":"depo_veloc_pm2_5","value":"0.0009","description":"Optional. Float. Default is 0.0009.\nDeposition or settling velocity of PM2.5 particulates. [m/s]","type":"text","disabled":true},{"key":"depo_veloc_pm10","value":"0.004","description":"Optional. Float. Default is 0.004.\nDeposition or settling velocity of PM10 particulates. [m/s]","type":"text","disabled":true},{"key":"initial_soiling","value":"0","description":"Optional. Float. Must be >= 0 and < 0.3437.\nInitial percentage of energy lost due to soiling at time zero in the rainfall series input. If not provided, Solcast will perform a ramp up series calculation to accurately determine this value.","type":"text","disabled":true},{"key":"manual_wash_dates","value":"[2022-10-26,2025-11-14,2025-11-26]","description":"Optional. List[String]. Default is None.\nA list of ISO_8601 compliant dates or a repeating interval when manual cleaning of the panels occurred. A list of dates example: [2025-01-01,2025-01-05,2025-01-10] A repeating interval example: R3/2025-01-01T00:00:00Z/P14D Wash dates outside of the start and end of the request are discarded.","type":"text","disabled":true},{"key":"cleaning_threshold","value":"1.0","description":"Optional. Float. Default is 1.0.\nAmount of daily rainfall required to clean the panels. (mm)","type":"text","disabled":true},{"key":"time_zone","value":"utc","description":"Optional. Default is utc \nTimezone to return in data set. Accepted values are utc, longitudinal, or a range from -13 to 13 in 0.25 hour increments for utc offset.","type":"text","disabled":true},{"key":"format","value":"json","description":"Response format (json, csv)","uuid":"bff25bc7-41fe-4b75-9661-1d490bfcb1d7"},{"key":"rainfall","value":"[0.001]","description":"Restricted. List[Float]. A list of rainfall values.\nHSU endpoint will internally use Solcast's percepitation rate values tailored to your request time period.","type":"text","disabled":true},{"key":"rain_accum_period","value":"24","description":"Restricted. Int. Set to 24 hours.\nThis parameter is not available as part of the user request. Internally this value is set to 24 hours.","type":"text","disabled":true}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json; charset=utf-8"},{"key":"Transfer-Encoding","value":"chunked"},{"key":"Connection","value":"keep-alive"},{"key":"Date","value":"Thu, 12 Feb 2026 00:56:32 GMT"},{"key":"Vary","value":"Accept"},{"key":"X-Robots-Tag","value":"none"},{"key":"Set-Cookie","value":"ss-id=nDXef5SHqTIUKTuFEW5K; domain=.solcast.com.au; path=/; samesite=lax; httponly"},{"key":"Set-Cookie","value":"ss-pid=Xt7kxDu9j5TfzMkL21Qj; expires=Tue, 06 Feb 2046 03:39:44 GMT; domain=.solcast.com.au; path=/; samesite=lax; httponly"},{"key":"Set-Cookie","value":"ss-opt=temp; expires=Tue, 06 Feb 2046 03:39:44 GMT; domain=.solcast.com.au; path=/; samesite=lax; httponly"},{"key":"X-Cache","value":"Miss from cloudfront"},{"key":"Via","value":"1.1 ba12fc64f48b750ce37ebde8e885847e.cloudfront.net (CloudFront)"},{"key":"X-Amz-Cf-Pop","value":"MEL51-P2"},{"key":"X-Amz-Cf-Id","value":"nxYTC3xOvnSSijFekY1uXix0AW6-Jprok5KZLEZMunY_eRTKvixSrw=="}],"cookie":[],"responseTime":null,"body":"{\n \"forecasts\": [\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T01:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T01:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T02:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T02:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T03:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T03:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T04:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T04:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T05:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T05:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T06:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T06:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T07:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T07:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T08:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T08:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T09:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T09:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T10:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T10:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T11:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T11:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T12:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0005,\n \"period_end\": \"2026-02-12T12:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T13:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T13:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T14:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T14:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T15:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T15:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T16:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T16:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T17:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T17:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T18:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T18:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T19:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T19:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T20:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T20:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T21:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T21:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T22:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T22:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T23:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-12T23:30:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-13T00:00:00+00:00\",\n \"period\": \"PT30M\"\n },\n {\n \"hsu_loss_fraction\": 0.0006,\n \"period_end\": \"2026-02-13T00:30:00+00:00\",\n \"period\": \"PT30M\"\n }\n ]\n}"}],"_postman_id":"58505419-7a77-410b-ac19-29033eaf8741"}],"id":"ddac955b-07a3-42bd-a4f7-5245dc31eac5","description":"

Forecast coverage is from now to 14 days ahead.

\n","event":[{"listen":"prerequest","script":{"id":"88d791dd-763e-4c1b-8d2c-2b6d31a5c1b5","type":"text/javascript","exec":[""]}},{"listen":"test","script":{"id":"865153ad-8f74-44e8-a52b-94d2d98ff05b","type":"text/javascript","exec":["pm.test(\"Status code is 200\", function () {\r"," pm.response.to.have.status(200);\r","});"]}}],"_postman_id":"ddac955b-07a3-42bd-a4f7-5245dc31eac5"},{"name":"Live","item":[{"name":"Get Irradiance and Weather Live Estimated Actuals","event":[{"listen":"test","script":{"id":"882214a4-be62-43c2-b53a-60632fb56a7f","exec":["pm.test(\"Response Content-Type is application/json\", function () {\r"," pm.expect(pm.response.headers.get(\"Content-Type\")).to.include(\"application/json\");\r","});\r","pm.test(\"estimated_actuals array is OK\", function () {\r"," const responseData = pm.response.json();\r"," \r"," pm.expect(responseData).to.be.an('object');\r"," pm.expect(responseData.estimated_actuals).lengthOf.to.be.within(48, 49, \"Array incorrect length\");\r","\r"," responseData.estimated_actuals.forEach(function(estimated_actuals) {\r"," pm.expect(estimated_actuals.period_end).to.match(/^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}.\\d{7}Z$/);\r"," pm.expect(estimated_actuals.air_temp).to.be.a('number');\r"," pm.expect(estimated_actuals.dni).to.be.a('number');\r"," pm.expect(estimated_actuals.ghi).to.be.a('number');\r"," pm.expect(estimated_actuals.period).equals('PT30M');\r"," });\r","});"],"type":"text/javascript","packages":{}}}],"id":"e0bd03f8-dfaf-46ee-a7a9-a0a19abdee6b","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{api_key}}"}]},"isInherited":false},"method":"GET","header":[],"url":"{{api_base}}/data/live/radiation_and_weather?latitude={{latitude}}&longitude={{longitude}}&hours=24&period=PT30M&output_parameters=air_temp,dni,ghi&format=json","description":"

Get irradiance and weather estimated actuals for near real-time and past 7 days for the requested location, derived from satellite (clouds and irradiance over non-polar continental areas) and numerical weather models (other data).

\n","urlObject":{"path":["data","live","radiation_and_weather"],"host":["{{api_base}}"],"query":[{"description":{"content":"

The latitude of the location (EPSG:4326)

\n","type":"text/plain"},"key":"latitude","value":"{{latitude}}"},{"description":{"content":"

The longitude of the location (EPSG:4326)

\n","type":"text/plain"},"key":"longitude","value":"{{longitude}}"},{"description":{"content":"

Optional. Default is 48

Time window of the response in hours from 1 to 168

\n","type":"text/plain"},"key":"hours","value":"24"},{"description":{"content":"

Optional. Default is PT30M

Length of the averaging period in ISO 8601 format (PT5M, PT10M, PT15M, PT20M, PT30M, PT60M)

\n","type":"text/plain"},"key":"period","value":"PT30M"},{"description":{"content":"

Optional. Default is air_temp, dni, ghi

\n","type":"text/plain"},"key":"output_parameters","value":"air_temp,dni,ghi"},{"disabled":true,"description":{"content":"

Optional. Default value is the optimal azimuth calculated from the latitude.

\n","type":"text/plain"},"key":"azimuth","value":"0"},{"disabled":true,"description":{"content":"

Optional. Default value is 23.

\n","type":"text/plain"},"key":"tilt","value":"23"},{"disabled":true,"description":{"content":"

Optional (fixed, horizontal_single_axis)

\n","type":"text/plain"},"key":"array_type","value":"fixed"},{"description":{"content":"

Response format (json, csv)

\n","type":"text/plain"},"key":"format","value":"json"},{"disabled":true,"description":{"content":"

\n","type":"text/plain"},"key":"terrain_shading","value":"false"}],"variable":[]}},"response":[{"id":"b0441cd2-fd8a-47aa-880b-1bb8b97b3afd","name":"Get Irradiance and Weather Live Estimated Actuals","originalRequest":{"method":"GET","header":[],"url":{"raw":"https://api.solcast.com.au/data/live/radiation_and_weather?latitude=-33.8567&longitude=151.2152&hours=24&period=PT30M&output_parameters=air_temp,dni,ghi&format=json","protocol":"https","host":["api","solcast","com","au"],"path":["data","live","radiation_and_weather"],"query":[{"key":"latitude","value":"-33.8567","description":"The latitude of the location (EPSG:4326)"},{"key":"longitude","value":"151.2152","description":"The longitude of the location (EPSG:4326)"},{"key":"hours","value":"24","description":"Optional. Default is 48\n\nTime window of the response in hours from 1 to 168"},{"key":"period","value":"PT30M","description":"Optional. Default is PT30M\n\nLength of the averaging period in ISO 8601 format (PT5M, PT10M, PT15M, PT20M, PT30M, PT60M)"},{"key":"output_parameters","value":"air_temp,dni,ghi","description":"Optional. Default is air_temp, dni, ghi"},{"key":"azimuth","value":"0","description":"Optional. Default value is the optimal azimuth calculated from the latitude.\n\nCan be specified when requesting gti. If you specify an array_type of \"fixed\", the azimuth is defined as the angle (degrees) from true north that the PV system is facing. If you specify an array_type of \"horizontal_single_axis\", the azimuth is defined as the tracker axis angle, or else we assume a default value of zero (i.e. tracker axis runs north-south). Azimuth values must be between -180 and 180. An azimuth of 0 means the system is facing true north. Positive values are anticlockwise, so azimuth is -90 for an east-facing system and 135 for a southwest-facing system. If you don't specify an azimuth, for array_type of \"fixed\" we use a default value of 0 (north facing) in the southern hemisphere and 180 (south-facing) in the northern hemisphere, and for array_type of \"horizontal_single_axis\" we use a default value of 0 (i.e. tracker axis runs north-south).","disabled":true},{"key":"tilt","value":"23","description":"Optional. Default value is 23.\n\nCan be specified when requesting any of gti. Only used when array_type is \"fixed\". The angle (degrees) that the PV system is tilted off the horizontal. Must be between 0 and 90. A tilt of 0 means the system faces directly upwards, and 90 means the system is vertical and facing the horizon. If you don't specify a tilt, we use a default tilt angle of 23 degrees.","disabled":true},{"key":"array_type","value":"fixed","description":"Optional (fixed, horizontal_single_axis)","disabled":true},{"key":"format","value":"json","description":"Response format (json, csv)"},{"key":"terrain_shading","value":"false","description":"Optional. Default value is false. If true, irradiance parameters are modified based on the surrounding terrain from a 90m-horizontal-resolution digital elevation model. The direct component of irradiance is set to zero when the beam from the sun is blocked by the terrain. The diffuse component of irradiance is reduced throughout the day if the sky view at the location is significantly reduced by the surrounding terrain. Global irradiance incorporates both effects.","disabled":true}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json; charset=utf-8"}],"cookie":[],"responseTime":null,"body":"{\n \"estimated_actuals\": [\n {\n \"air_temp\": 6,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-04T02:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 6,\n \"dni\": 0,\n \"ghi\": 11,\n \"period_end\": \"2024-03-04T01:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 7,\n \"dni\": 190,\n \"ghi\": 77,\n \"period_end\": \"2024-03-04T01:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 7,\n \"dni\": 551,\n \"ghi\": 185,\n \"period_end\": \"2024-03-04T00:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 8,\n \"dni\": 789,\n \"ghi\": 302,\n \"period_end\": \"2024-03-04T00:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 8,\n \"dni\": 833,\n \"ghi\": 401,\n \"period_end\": \"2024-03-03T23:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 8,\n \"dni\": 896,\n \"ghi\": 498,\n \"period_end\": \"2024-03-03T23:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 9,\n \"dni\": 926,\n \"ghi\": 582,\n \"period_end\": \"2024-03-03T22:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 9,\n \"dni\": 856,\n \"ghi\": 632,\n \"period_end\": \"2024-03-03T22:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 9,\n \"dni\": 766,\n \"ghi\": 663,\n \"period_end\": \"2024-03-03T21:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 9,\n \"dni\": 779,\n \"ghi\": 704,\n \"period_end\": \"2024-03-03T21:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 8,\n \"dni\": 709,\n \"ghi\": 708,\n \"period_end\": \"2024-03-03T20:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 8,\n \"dni\": 333,\n \"ghi\": 591,\n \"period_end\": \"2024-03-03T20:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 8,\n \"dni\": 86,\n \"ghi\": 487,\n \"period_end\": \"2024-03-03T19:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 7,\n \"dni\": 5,\n \"ghi\": 388,\n \"period_end\": \"2024-03-03T19:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 6,\n \"dni\": 0,\n \"ghi\": 359,\n \"period_end\": \"2024-03-03T18:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 6,\n \"dni\": 0,\n \"ghi\": 264,\n \"period_end\": \"2024-03-03T18:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 5,\n \"dni\": 0,\n \"ghi\": 179,\n \"period_end\": \"2024-03-03T17:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 4,\n \"dni\": 0,\n \"ghi\": 118,\n \"period_end\": \"2024-03-03T17:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 3,\n \"dni\": 296,\n \"ghi\": 319,\n \"period_end\": \"2024-03-03T16:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 3,\n \"dni\": 259,\n \"ghi\": 246,\n \"period_end\": \"2024-03-03T16:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 2,\n \"dni\": 69,\n \"ghi\": 142,\n \"period_end\": \"2024-03-03T15:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 2,\n \"dni\": 61,\n \"ghi\": 80,\n \"period_end\": \"2024-03-03T15:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 2,\n \"dni\": 85,\n \"ghi\": 26,\n \"period_end\": \"2024-03-03T14:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 2,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T14:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 2,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T13:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 2,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T13:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 2,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T12:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 2,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T12:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 3,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T11:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 3,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T11:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 3,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T10:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 3,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T10:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 3,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T09:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 3,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T09:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 4,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T08:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 4,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T08:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 4,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T07:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 4,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T07:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 4,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T06:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 4,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T06:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 4,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T05:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 4,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T05:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 4,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T04:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 5,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T04:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 5,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T03:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 5,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T03:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 5,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T02:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"air_temp\": 6,\n \"dni\": 0,\n \"ghi\": 0,\n \"period_end\": \"2024-03-03T02:00:00.0000000Z\",\n \"period\": \"PT30M\"\n }\n ]\n}"}],"_postman_id":"e0bd03f8-dfaf-46ee-a7a9-a0a19abdee6b"},{"name":"Get Rooftop PV Power Live Estimated Actuals","event":[{"listen":"test","script":{"id":"f3344720-d044-411f-a241-ff2d8cadeb97","exec":["pm.test(\"Response Content-Type is application/json\", function () {\r"," pm.expect(pm.response.headers.get(\"Content-Type\")).to.include(\"application/json\");\r","});\r","pm.test(\"estimated_actuals array is OK\", function () {\r"," const responseData = pm.response.json();\r"," \r"," pm.expect(responseData).to.be.an('object');\r"," pm.expect(responseData.estimated_actuals).lengthOf.to.be.within(48, 49, \"Array incorrect length\");\r","\r"," responseData.estimated_actuals.forEach(function(estimated_actuals) {\r"," pm.expect(estimated_actuals.period_end).to.match(/^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}.\\d{7}Z$/);\r"," pm.expect(estimated_actuals.pv_power_rooftop).to.be.a('number');\r"," pm.expect(estimated_actuals.period).equals('PT30M');\r"," });\r","});"],"type":"text/javascript","packages":{}}}],"id":"ddaa9b5a-086a-4ff4-9325-df2d4cd58dd2","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{api_key}}"}]},"isInherited":false},"method":"GET","header":[],"url":"{{api_base}}/data/live/rooftop_pv_power?latitude={{latitude}}&longitude={{longitude}}&hours=24&period=PT30M&output_parameters=pv_power_rooftop&capacity=1&format=json","description":"

Get basic rooftop PV power estimated actuals for near real-time and past 7 days for the requested location, derived from satellite (clouds and irradiance over non-polar continental areas) and numerical weather models (other data).

The basic rooftop power simulation is only suitable for residential and smaller C&I rooftop sites, not for grid-scale sites.

Attention hobbyist users

If you have a hobbyist user account please use the Rooftop Sites (Hobbyist) endpoints.

\n","urlObject":{"path":["data","live","rooftop_pv_power"],"host":["{{api_base}}"],"query":[{"description":{"content":"

The latitude of the location (EPSG:4326)

\n","type":"text/plain"},"key":"latitude","value":"{{latitude}}"},{"description":{"content":"

The longitude of the location (EPSG:4326)

\n","type":"text/plain"},"key":"longitude","value":"{{longitude}}"},{"description":{"content":"

Optional. Default is 48

Time window of the response in hours from 1 to 168

\n","type":"text/plain"},"key":"hours","value":"24"},{"description":{"content":"

Optional. Default is PT30M

Length of the averaging period in ISO 8601 format (PT5M, PT10M, PT15M, PT20M, PT30M, PT60M)

\n","type":"text/plain"},"key":"period","value":"PT30M"},{"description":{"content":"

Optional. Default is pv_power_rooftop

\n","type":"text/plain"},"key":"output_parameters","value":"pv_power_rooftop"},{"description":{"content":"

The capacity of the inverter (AC) or the modules (DC), whichever is greater, in kilowatts (kW)

\n","type":"text/plain"},"key":"capacity","value":"1"},{"disabled":true,"description":{"content":"

Optional. Default value is the optimal azimuth calculated from the latitude.

\n","type":"text/plain"},"key":"azimuth","value":"0"},{"disabled":true,"description":{"content":"

Optional. Default value is 23.

\n","type":"text/plain"},"key":"tilt","value":"23"},{"disabled":true,"description":{"content":"

Optional. Default is 0.90

\n","type":"text/plain"},"key":"loss_factor","value":"0.90"},{"disabled":true,"description":{"content":"

Optional

\n","type":"text/plain"},"key":"install_date","value":"2020-12-30"},{"description":{"content":"

Response format (json, csv)

\n","type":"text/plain"},"key":"format","value":"json"},{"disabled":true,"description":{"content":"

\n","type":"text/plain"},"key":"terrain_shading","value":"false"}],"variable":[]}},"response":[{"id":"782bc2dc-5682-4b72-9cb0-1766a8230dfb","name":"Get Rooftop PV Power Live Estimated Actuals","originalRequest":{"method":"GET","header":[],"url":{"raw":"https://api.solcast.com.au/data/live/rooftop_pv_power?latitude=-33.8567&longitude=151.2152&hours=24&period=PT30M&output_parameters=pv_power_rooftop&capacity=1&format=json","protocol":"https","host":["api","solcast","com","au"],"path":["data","live","rooftop_pv_power"],"query":[{"key":"latitude","value":"-33.8567","description":"The latitude of the location (EPSG:4326)"},{"key":"longitude","value":"151.2152","description":"The longitude of the location (EPSG:4326)"},{"key":"hours","value":"24","description":"Optional. Default is 48\n\nTime window of the response in hours from 1 to 168"},{"key":"period","value":"PT30M","description":"Optional. Default is PT30M\n\nLength of the averaging period in ISO 8601 format (PT5M, PT10M, PT15M, PT20M, PT30M, PT60M)"},{"key":"output_parameters","value":"pv_power_rooftop","description":"Optional. Default is pv_power_rooftop"},{"key":"capacity","value":"1","description":"The capacity of the inverter (AC) or the modules (DC), whichever is greater, in kilowatts (kW)"},{"key":"azimuth","value":"0","description":"Optional. Default value is the optimal azimuth calculated from the latitude.\n\nCan be specified when requesting gti. If you specify an array_type of \"fixed\", the azimuth is defined as the angle (degrees) from true north that the PV system is facing. If you specify an array_type of \"horizontal_single_axis\", the azimuth is defined as the tracker axis angle, or else we assume a default value of zero (i.e. tracker axis runs north-south). Azimuth values must be between -180 and 180. An azimuth of 0 means the system is facing true north. Positive values are anticlockwise, so azimuth is -90 for an east-facing system and 135 for a southwest-facing system. If you don't specify an azimuth, for array_type of \"fixed\" we use a default value of 0 (north facing) in the southern hemisphere and 180 (south-facing) in the northern hemisphere, and for array_type of \"horizontal_single_axis\" we use a default value of 0 (i.e. tracker axis runs north-south).","disabled":true},{"key":"tilt","value":"23","description":"Optional. Default value is 23.\n\nCan be specified when requesting any of gti. Only used when array_type is \"fixed\". The angle (degrees) that the PV system is tilted off the horizontal. Must be between 0 and 90. A tilt of 0 means the system faces directly upwards, and 90 means the system is vertical and facing the horizon. If you don't specify a tilt, we use a default tilt angle of 23 degrees.","disabled":true},{"key":"loss_factor","value":"0.90","description":"Optional. Default is 0.90\n\nA factor to reduce your output forecast from the full capacity based on characteristics of the PV array or inverter. This is effectively the non-temperature loss effects on the nameplate rating of the PV system, including inefficiency and soiling. For a 1kW PV system anything that reduces 1000W/m2 solar radiation from producing 1000W of power output (assuming temperature is 25C). Valid values are between 0 and 1 (i.e. 0.6 equals 60%). If you specify 0.6 your returned power will be a maximum of 60% of AC capacity.","disabled":true},{"key":"install_date","value":"2020-12-30","description":"Optional\n\nThe date (yyyy-MM-dd) of installation of the PV system. We use this to estimate your loss_factor based on the ageing of your system. If you provide us with a loss_factor directly, we will ignore this date.","disabled":true},{"key":"format","value":"json","description":"Response format (json, csv)"},{"key":"terrain_shading","value":"false","description":"Optional. Default value is false. If true, irradiance parameters are modified based on the surrounding terrain from a 90m-horizontal-resolution digital elevation model. The direct component of irradiance is set to zero when the beam from the sun is blocked by the terrain. The diffuse component of irradiance is reduced throughout the day if the sky view at the location is significantly reduced by the surrounding terrain. Global irradiance incorporates both effects.","disabled":true}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json; charset=utf-8"}],"cookie":[],"responseTime":null,"body":"{\n \"estimated_actuals\": [\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-04T02:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.001,\n \"period_end\": \"2024-03-04T01:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.072,\n \"period_end\": \"2024-03-04T01:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.219,\n \"period_end\": \"2024-03-04T00:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.361,\n \"period_end\": \"2024-03-04T00:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.463,\n \"period_end\": \"2024-03-03T23:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.56,\n \"period_end\": \"2024-03-03T23:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.639,\n \"period_end\": \"2024-03-03T22:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.679,\n \"period_end\": \"2024-03-03T22:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.698,\n \"period_end\": \"2024-03-03T21:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.735,\n \"period_end\": \"2024-03-03T21:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.733,\n \"period_end\": \"2024-03-03T20:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.575,\n \"period_end\": \"2024-03-03T20:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.436,\n \"period_end\": \"2024-03-03T19:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.33,\n \"period_end\": \"2024-03-03T19:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.302,\n \"period_end\": \"2024-03-03T18:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.217,\n \"period_end\": \"2024-03-03T18:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.141,\n \"period_end\": \"2024-03-03T17:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.086,\n \"period_end\": \"2024-03-03T17:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.309,\n \"period_end\": \"2024-03-03T16:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.238,\n \"period_end\": \"2024-03-03T16:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.118,\n \"period_end\": \"2024-03-03T15:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.06,\n \"period_end\": \"2024-03-03T15:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0.015,\n \"period_end\": \"2024-03-03T14:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T14:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T13:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T13:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T12:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T12:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T11:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T11:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T10:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T10:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T09:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T09:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T08:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T08:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T07:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T07:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T06:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T06:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T05:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T05:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T04:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T04:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T03:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T03:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T02:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_rooftop\": 0,\n \"period_end\": \"2024-03-03T02:00:00.0000000Z\",\n \"period\": \"PT30M\"\n }\n ]\n}"}],"_postman_id":"ddaa9b5a-086a-4ff4-9325-df2d4cd58dd2"},{"name":"Get Advanced PV Power Live Estimated Actuals","event":[{"listen":"test","script":{"id":"4908a5d9-a2a0-4b44-aa4c-314df08c1b00","exec":["pm.test(\"Response Content-Type is application/json\", function () {\r"," pm.expect(pm.response.headers.get(\"Content-Type\")).to.include(\"application/json\");\r","});\r","pm.test(\"estimated_actuals array is OK\", function () {\r"," const responseData = pm.response.json();\r"," \r"," pm.expect(responseData).to.be.an('object');\r"," pm.expect(responseData.estimated_actuals).lengthOf.to.be.within(48, 49, \"Array incorrect length\");\r","\r"," responseData.estimated_actuals.forEach(function(estimated_actuals) {\r"," pm.expect(estimated_actuals.period_end).to.match(/^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}.\\d{7}Z$/);\r"," pm.expect(estimated_actuals.pv_power_advanced).to.be.a('number');\r"," pm.expect(estimated_actuals.period).equals('PT30M');\r"," });\r","});"],"type":"text/javascript","packages":{}}}],"id":"806ae59c-e336-454a-99af-b06b3771ff76","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{api_key}}"}]},"isInherited":false},"method":"GET","header":[],"url":"{{api_base}}/data/live/advanced_pv_power?hours=24&period=PT30M&output_parameters=pv_power_advanced&format=json&resource_id={{advanced_pv_power_resource_id}}","description":"

Get high spec PV power estimated actuals for near real-time and past 7 days for the requested site, derived from satellite (clouds and irradiance over non-polar continental areas) and numerical weather models (other data).

\n","urlObject":{"path":["data","live","advanced_pv_power"],"host":["{{api_base}}"],"query":[{"description":{"content":"

Optional. Number of hours of forecasts to be included in the response

\n","type":"text/plain"},"key":"hours","value":"24"},{"description":{"content":"

Optional. Length of the averaging period in iSO8601 duration fromat. Allowed values are PT5M, PT10M, PT15M and PT30M

\n","type":"text/plain"},"key":"period","value":"PT30M"},{"description":{"content":"

Optional. Specify which output parameters you need.

\n","type":"text/plain"},"key":"output_parameters","value":"pv_power_advanced"},{"disabled":true,"description":{"content":"

\n","type":"text/plain"},"key":"apply_availability","value":"100"},{"disabled":true,"description":{"content":"

\n","type":"text/plain"},"key":"apply_constraint","value":""},{"disabled":true,"description":{"content":"

\n","type":"text/plain"},"key":"apply_dust_soiling","value":""},{"disabled":true,"description":{"content":"

\n","type":"text/plain"},"key":"apply_snow_soiling","value":""},{"disabled":true,"description":{"content":"

Optional. Indicating if trackers are inactive. If True, panels are assumed all facing up (i.e. zero rotation). Only has effect if your site has a tracking_type that is not “fixed”.

\n","type":"text/plain"},"key":"apply_tracker_inactive","value":"false"},{"description":{"content":"

Response format (json, csv)

\n","type":"text/plain"},"key":"format","value":"json"},{"disabled":true,"description":{"content":"

\n","type":"text/plain"},"key":"terrain_shading","value":"false"},{"key":"resource_id","value":"{{advanced_pv_power_resource_id}}"}],"variable":[]}},"response":[{"id":"0b6f33f7-6aaf-4fd5-abc0-d56818335859","name":"Get Advanced PV Power Live Estimated Actuals","originalRequest":{"method":"GET","header":[],"url":{"raw":"https://api.solcast.com.au/data/live/advanced_pv_power?hours=24&period=PT30M&output_parameters=pv_power_advanced&format=json&resource_id=ba75-e17a-7374-95ed","protocol":"https","host":["api","solcast","com","au"],"path":["data","live","advanced_pv_power"],"query":[{"key":"hours","value":"24","description":"Optional. Number of hours of forecasts to be included in the response"},{"key":"period","value":"PT30M","description":"Optional. Length of the averaging period in iSO8601 duration fromat. Allowed values are PT5M, PT10M, PT15M and PT30M"},{"key":"output_parameters","value":"pv_power_advanced","description":"Optional. Specify which output parameters you need."},{"key":"apply_availability","value":"100","description":"Optional. Percentage of the site’s total AC (inverter) capacity that is currently generating or expected to be generating during the forecast request period. E.g. if you specify a 50% availability, your returned power will be half of what it otherwise would be.\n","disabled":true},{"key":"apply_constraint","value":"","description":"Optional. Constraint on site’s total AC production, applied as a cap in the same way as the metadata parameter Site Export Limit. This will constrain all Solcast power values to be no higher than the apply_constraint value you specify. If you need an unconstrained forecast, you should not use this parameter.\n","disabled":true},{"key":"apply_dust_soiling","value":"","description":"Optional. A user-override for dust_soiling_average. If you specify this parameter in your API call, we will replace the site's annual or monthly average dust soiling values with the value you specify in your API call.E.g. if you specify a 0.7 dust soiling, your returned power will be reduced by 70%.","disabled":true},{"key":"apply_snow_soiling","value":"","description":"Optional. A user-override for Solcast’s dynamic snow soiling, which is based on global snow cover and weather forecast data, and changes from hour to hour. If you specify this parameter in your API call (e.g. if snow clearing has just been performed), we will replace the Solcast dynamic hour to hour value with the single value you specify. E.g. if you specify a 0.7 snow soiling, your returned power will be reduced by 70%.","disabled":true},{"key":"apply_tracker_inactive","value":"false","description":"Optional. Indicating if trackers are inactive. If True, panels are assumed all facing up (i.e. zero rotation). Only has effect if your site has a tracking_type that is not “fixed”.","disabled":true},{"key":"format","value":"json","description":"Response format (json, csv)"},{"key":"terrain_shading","value":"false","description":"Optional. Default value is false. If true, irradiance parameters are modified based on the surrounding terrain from a 90m-horizontal-resolution digital elevation model. The direct component of irradiance is set to zero when the beam from the sun is blocked by the terrain. The diffuse component of irradiance is reduced throughout the day if the sky view at the location is significantly reduced by the surrounding terrain. Global irradiance incorporates both effects.","disabled":true},{"key":"resource_id","value":"ba75-e17a-7374-95ed"}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json; charset=utf-8"}],"cookie":[],"responseTime":null,"body":"{\n \"estimated_actuals\": [\n {\n \"pv_power_advanced\": 10,\n \"period_end\": \"2024-03-04T02:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 10,\n \"period_end\": \"2024-03-04T01:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 9.888,\n \"period_end\": \"2024-03-04T01:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 9.269,\n \"period_end\": \"2024-03-04T00:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 8.43,\n \"period_end\": \"2024-03-04T00:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 7.4,\n \"period_end\": \"2024-03-03T23:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 6.179,\n \"period_end\": \"2024-03-03T23:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 4.784,\n \"period_end\": \"2024-03-03T22:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 3.262,\n \"period_end\": \"2024-03-03T22:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 1.743,\n \"period_end\": \"2024-03-03T21:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0.523,\n \"period_end\": \"2024-03-03T21:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0.029,\n \"period_end\": \"2024-03-03T20:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T20:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T19:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T19:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T18:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T18:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T17:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T17:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T16:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T16:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T15:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T15:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T14:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T14:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T13:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T13:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T12:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T12:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T11:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T11:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T10:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T10:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0,\n \"period_end\": \"2024-03-03T09:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0.005,\n \"period_end\": \"2024-03-03T09:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0.329,\n \"period_end\": \"2024-03-03T08:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 1.103,\n \"period_end\": \"2024-03-03T08:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 1.781,\n \"period_end\": \"2024-03-03T07:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 2.218,\n \"period_end\": \"2024-03-03T07:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 0.707,\n \"period_end\": \"2024-03-03T06:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 2.182,\n \"period_end\": \"2024-03-03T06:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 5.03,\n \"period_end\": \"2024-03-03T05:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 5.742,\n \"period_end\": \"2024-03-03T05:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 6.71,\n \"period_end\": \"2024-03-03T04:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 4.357,\n \"period_end\": \"2024-03-03T04:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 4.676,\n \"period_end\": \"2024-03-03T03:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 5.259,\n \"period_end\": \"2024-03-03T03:00:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 5.204,\n \"period_end\": \"2024-03-03T02:30:00.0000000Z\",\n \"period\": \"PT30M\"\n },\n {\n \"pv_power_advanced\": 8.338,\n \"period_end\": \"2024-03-03T02:00:00.0000000Z\",\n \"period\": \"PT30M\"\n }\n ]\n}"}],"_postman_id":"806ae59c-e336-454a-99af-b06b3771ff76"},{"name":"Get Kimber Soiling Losses Live Estimated Actuals","event":[{"listen":"test","script":{"id":"8b4ee84d-3970-46cc-aa8f-c5d87f97116e","exec":["pm.test(\"Response Content-Type is application/json\", function () {\r"," pm.expect(pm.response.headers.get(\"Content-Type\")).to.include(\"application/json\");\r","});\r","pm.test(\"estimated_actuals array is OK\", function () {\r"," const responseData = pm.response.json();\r"," \r"," pm.expect(responseData).to.be.an('object');\r"," pm.expect(responseData.estimated_actuals).lengthOf.to.be.within(48, 49, \"Array incorrect length\");\r","\r"," responseData.estimated_actuals.forEach(function(estimated_actuals) {\r"," pm.expect(estimated_actuals.period_end).to.match(/^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\+\\d{2}:\\d{2}$/);\r"," pm.expect(estimated_actuals.kimber_loss_fraction).to.be.a('number');\r"," pm.expect(estimated_actuals.period).equals('PT30M');\r"," });\r","});"],"type":"text/javascript","packages":{},"requests":{}}}],"id":"24528b97-cfb8-4618-a933-b1234eba6448","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{api_key}}"}]},"isInherited":false},"method":"GET","header":[],"url":"{{api_base}}/data/live/soiling/kimber?latitude={{latitude}}&longitude={{longitude}}&hours=24&period=PT30M&format=json","description":"

Get soiling loss estimated actuals using the Kimber model for near real-time and past 7 days for the requested location.

\n","urlObject":{"path":["data","live","soiling","kimber"],"host":["{{api_base}}"],"query":[{"description":{"content":"

The latitude of the location (EPSG:4326)

\n","type":"text/plain"},"key":"latitude","value":"{{latitude}}"},{"description":{"content":"

The longitude of the location (EPSG:4326)

\n","type":"text/plain"},"key":"longitude","value":"{{longitude}}"},{"description":{"content":"

Optional. Default is 48\nTime window of the response in hours from 1 to 168