pvlib.iotools.get_solcast_forecast#

pvlib.iotools.get_solcast_forecast(latitude, longitude, api_key, map_variables=True, **kwargs)[source]#

Get irradiance and weather forecasts from the present time up to 14 days ahead.

Parameters:

latitude (float) – in decimal degrees, between -90 and 90, north is positive
longitude (float) – in decimal degrees, between -180 and 180, east is positive
api_key (str) – To access Solcast data you will need an API key [1].
map_variables (bool, default: True) – When true, renames columns of the DataFrame to pvlib variable names where applicable. See variable VARIABLE_MAP. Time is the index shifted to the midpoint of each interval from Solcast’s “period end” convention.
kwargs – Optional parameters passed to the API. See [2] for full list of parameters.

Returns:

data (pandas.DataFrame) – Contains the values for the parameters requested. The times in the DataFrame index indicate the midpoint of each interval.
metadata (dict) – latitude and longitude of the request.

Examples

>>> df, meta = pvlib.iotools.solcast.get_solcast_forecast(
>>>     latitude=-33.856784,
>>>     longitude=151.215297,
>>>     api_key="your-key"
>>> )

you can pass any of the parameters listed in the API docs, like asking for specific variables for a specific time horizon:

>>> df, meta = pvlib.iotools.solcast.get_solcast_forecast(
>>>     latitude=-33.856784,
>>>     longitude=151.215297,
>>>     output_parameters=['dni', 'clearsky_dni', 'snow_soiling_rooftop'],
>>>     hours=24,
>>>     api_key="your-key"
>>> )

References