Forecasting

Warning

All functionality in the pvlib.forecast module is deprecated as of pvlib v0.9.1. For details, see Forecasting.

Forecast models

forecast.GFS(**kwargs)	Deprecated since version 0.9.1.
forecast.NAM(**kwargs)	Deprecated since version 0.9.1.
forecast.RAP(**kwargs)	Deprecated since version 0.9.1.
forecast.HRRR(**kwargs)	Deprecated since version 0.9.1.
forecast.HRRR_ESRL(**kwargs)	Deprecated since version 0.9.1.
forecast.NDFD(**kwargs)	Deprecated since version 0.9.1.

Getting data

forecast.ForecastModel.get_data(latitude, ...)	Submits a query to the UNIDATA servers using Siphon NCSS and converts the netcdf data to a pandas DataFrame.
forecast.ForecastModel.get_processed_data(...)	Get and process forecast data.

Processing data

forecast.ForecastModel.process_data(data, ...)	Defines the steps needed to convert raw forecast data into processed forecast data.
forecast.ForecastModel.rename(data[, variables])	Renames the columns according the variable mapping.
forecast.ForecastModel.cloud_cover_to_ghi_linear(...)	Convert cloud cover to GHI using a linear relationship.
forecast.ForecastModel.cloud_cover_to_irradiance_clearsky_scaling(...)	Estimates irradiance from cloud cover in the following steps:
forecast.ForecastModel.cloud_cover_to_transmittance_linear(...)	Convert cloud cover (percentage) to atmospheric transmittance using a linear model.
forecast.ForecastModel.cloud_cover_to_irradiance_campbell_norman(...)	Estimates irradiance from cloud cover in the following steps:
forecast.ForecastModel.cloud_cover_to_irradiance(...)	Convert cloud cover to irradiance.
forecast.ForecastModel.kelvin_to_celsius(...)	Converts Kelvin to celsius.
forecast.ForecastModel.isobaric_to_ambient_temperature(data)	Calculates temperature from isobaric temperature.
forecast.ForecastModel.uv_to_speed(data)	Computes wind speed from wind components.
forecast.ForecastModel.gust_to_speed(data[, ...])	Computes standard wind speed from gust.

IO support

These are public for now, but use at your own risk.

forecast.ForecastModel.set_dataset()	Retrieves the designated dataset, creates NCSS object, and creates a NCSS query object.
forecast.ForecastModel.set_query_latlon()	Sets the NCSS query location latitude and longitude.
forecast.ForecastModel.set_location(tz, ...)	Sets the location for the query.
forecast.ForecastModel.set_time(time)	Converts time data into a pandas date object.

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