Abstract: Techniques for forecasting solar power generation include determining, by a computing device, one or more configuration parameters of a photovoltaic (PV) installation; selecting, by the computing device based on the one or more configuration parameters, a prototype PV installation from a plurality of prototype PV installations; generating, by the computing device, a clear-sky solar power generation level for the selected prototype PV installation; and scaling, by the computing device, the clear-sky solar power generation level for the selected prototype PV installation to generate an estimated clear-sky solar power generation level for the PV installation.

Abstract: Techniques for forecasting solar power generation include a computing device determining a clear-sky solar power generation level for a photovoltaic installation; receiving, from a first measurement device, measurement data indicating an amount of cloud cover at a first location of the first measurement device, wherein the first measurement device and the photovoltaic installation are located in a same geographical area; and generating a solar power generation forecast for the photovoltaic installation based on the clear-sky solar power generation level and the measurement data.

Abstract: Techniques for forecasting solar power generation include determining, by a computing device, respective proximity scores for a plurality of measurement devices, wherein the respective proximity scores are based on proximity of the measurement devices to a photovoltaic installation; determining, by the computing device, respective bearing scores for the plurality of measurement devices, wherein the respective bearing scores are based on respective angular offsets between the plurality of measurement devices and an azimuth of the photovoltaic installation; selecting, by the computing device, a first measurement device in the plurality of measurement devices using the respective proximity scores and the respective bearing scores; and predicting, by the computing device, a solar power generation level for the photovoltaic installation based on data obtained from the first measurement device.

Abstract: A forecast engine generates a clear-sky solar power generation level corresponding to a photovoltaic installation that resides within a geographical area. The clear-sky solar power generation level indicates an amount of electricity generated by the photovoltaic installation under clear-sky conditions. The forecast engine also generates a measurement device index corresponding to a measurement device that resides proximate to the photovoltaic installation. The measurement device index indicates an amount of cloud cover present at the location where the measurement device resides. The forecast engine then generates a solar power generation forecast for the geographical area based on the clear-sky solar power generation level and the measurement device index.

Abstract: Techniques for forecasting solar power generation include determining, by a computing device, respective proximity scores for a plurality of measurement devices, wherein the respective proximity scores are based on proximity of the measurement devices to a photovoltaic installation; determining, by the computing device, respective bearing scores for the plurality of measurement devices, wherein the respective bearing scores are based on respective angular offsets between the plurality of measurement devices and an azimuth of the photovoltaic installation; selecting, by the computing device, a first measurement device in the plurality of measurement devices using the respective proximity scores and the respective bearing scores; and predicting, by the computing device, a solar power generation level for the photovoltaic installation based on data obtained from the first measurement device.

Abstract: A forecast engine generates a clear-sky solar power generation level corresponding to a photovoltaic installation that resides within a geographical area. The clear-sky solar power generation level indicates an amount of electricity generated by the photovoltaic installation under clear-sky conditions. The forecast engine also generates a measurement device index corresponding to a measurement device that resides proximate to the photovoltaic installation. The measurement device index indicates an amount of cloud cover present at the location where the measurement device resides. The forecast engine then generates a solar power generation forecast for the geographical area based on the clear-sky solar power generation level and the measurement device index.

Abstract: A forecast engine generates a clear-sky solar power generation level corresponding to a photovoltaic installation that resides within a geographical area. The clear-sky solar power generation level indicates an amount of electricity generated by the photovoltaic installation under clear-sky conditions. The forecast engine also generates a measurement device index corresponding to a measurement device that resides proximate to the photovoltaic installation. The measurement device index indicates an amount of cloud cover present at the location where the measurement device resides. The forecast engine then generates a solar power generation forecast for the geographical area based on the clear-sky solar power generation level and the measurement device index.

Abstract: A forecast engine generates a clear-sky solar power generation level corresponding to a photovoltaic installation that resides within a geographical area. The clear-sky solar power generation level indicates an amount of electricity generated by the photovoltaic installation under clear-sky conditions. The forecast engine also generates a measurement device index corresponding to a measurement device that resides proximate to the photovoltaic installation. The measurement device index indicates an amount of cloud cover present at the location where the measurement device resides. The forecast engine then generates a solar power generation forecast for the geographical area based on the clear-sky solar power generation level and the measurement device index.