Techniques for forecasting solar power generation

1. A method comprising:

determining, by a computing device, a clear-sky solar power generation level for a photovoltaic installation;

generating, by the computing device, a measurement device index based on measurement data received from a first measurement device, the measurement device index indicating an amount of cloud cover associated with a target geographical area, wherein the first measurement device and the photovoltaic installation are both located within the target geographical area; and

generating, by the computing device, a solar power generation forecast for the photovoltaic installation based on the clear-sky solar power generation level and the measurement device index.

2. The method of claim 1 , further comprising selecting, by the computing device, the first measurement device from a plurality of second measurement devices located in the target geographical area based on a mapping between measurement devices and photovoltaic installations.

3. The method of claim 1 , wherein the measurement device index is determined by scaling a current output of the first measurement device by a maximum output level of the first measurement device.

4. The method of claim 1 , wherein generating the solar power generation forecast is further based on measurement data from a second measurement device located in the target geographical area with the first measurement device and the photovoltaic installation.

5. The method of claim 1 , wherein determining the clear-sky solar power generation level comprises:

generating an estimated clear-sky solar power generation level based on an insolation level associated with the photovoltaic installation; and

modifying the estimated clear-sky solar power generation level based on at least one configuration parameter associated with the photovoltaic installation.

6. The method of claim 1 , wherein determining the clear-sky solar power generation level comprises:

mapping the photovoltaic installation to a prototype photovoltaic installation based on at least one operational parameter associated with the photovoltaic installation; and

determining the clear-sky solar power generation level based on an estimated solar power generation level of the prototype photovoltaic installation under clear-sky conditions.

7. The method of claim 1 , wherein generating the solar power generation forecast is further based on weather data for the target geographic area.

8. The method of claim 1 , wherein generating the solar power generation forecast for the photovoltaic installation comprises applying a predictive model that is trained based on historical solar power generation levels associated with the photovoltaic installation.

9. The method of claim 1 , further comprising assigning, by the computing device, the first measurement device and the photovoltaic installation to a first solar region based on first insolation parameters at a first location and second insolation parameters at a second location of the photovoltaic installation.

10. One or more non-transitory computer-readable media storing program instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

determining a power generation level for a solar power installation under clear-sky conditions;

generating, a measurement index based on measurement data received from a measurement device node, the measurement index corresponding to an amount of cloud cover at a target geographical area, wherein the measurement device node and the solar power installation are both located in the target geographical area; and

generating a forecast of an amount of solar power to be generated by the solar power installation based on the power generation level for the solar power installation under clear-sky conditions and the measurement index.

11. The one or more non-transitory computer-readable media of claim 10 , wherein boundaries of the target geographical area are determined based on at least one of electrical power grid connectivity, geospatial boundaries, or climate zones.

12. The one or more non-transitory computer-readable media of claim 10 , wherein the operations further comprise selecting the measurement device node from a plurality of measurement device nodes located in the target geographical area based on a mapping between measurement device nodes and solar power installations.

13. The one or more non-transitory computer-readable media of claim 10 , wherein forecasting the amount of solar power to be generated by the solar power installation comprises applying a predictive model that is trained, based on historical power generation levels associated with the solar power installation.

14. The one or more non-transitory computer-readable media of claim 10 , wherein the forecasting of the amount of solar power to be generated by the solar power installation is further based on weather data for the target geographical area.

15. The one or more non-transitory computer-readable media of claim 10 , wherein determining the power generation level for the solar power installation under clear-sky conditions comprises:

selecting a prototype solar power installation based on at least one operational parameter associated with the solar power installation; and

determining the power generation level for the solar power installation under clear-sky conditions based on an estimated power generation level of the prototype solar power installation under clear-sky conditions.

16. A utility control center comprising:

one or more computing devices; and

one or more memories storing instructions that, when executed by the one or more computing devices, cause the one or more computing devices to perform operations comprising:

dividing a geographical area into a plurality of geographical regions;

determining a clear-sky solar generation level for a photovoltaic installation located in a first geographical region of the plurality of geographical regions;

generating a measurement device index based on measurement data received from a measurement device located in the first geographical region the measurement device index indicating a level of cloudiness in the first geographical region; and

computing a forecast of an amount of power to be generated by the photovoltaic installation based on the clear-sky solar generation level for the photovoltaic installation and the level of cloudiness in the first geographical region.

17. The utility control center of claim 16 , wherein the operations further comprise selecting the measurement device from a plurality of measurement devices located in the first geographical region based on a proximity between the measurement device and the photovoltaic installation.

18. The utility control center of claim 16 , wherein computing the forecast comprises applying a predictive model that is trained based on historical power generation levels associated with the photovoltaic installation and historical data from the measurement device.

19. The utility control center of claim 16 , wherein computing the forecast is further based on current weather conditions in the first geographical region.

20. The utility control center of claim 16 , wherein the operations further comprise scaling at least one other electricity production up or down based on the forecast of the amount of power to be generated by the photovoltaic installation.