Techniques for forecasting solar power generation
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.
1. A method, comprising:
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;
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; and
performing, by the computing device based on the estimated clear-sky solar power generation level for the PV installation, real-time solar power generation forecasting.
2. The method of claim 1 , wherein the one or more configuration parameters include one or more of a size of the PV installation, an operational characteristic of the PV installation, or a solar region associated with the PV installation.
3. The method of claim 1 , wherein selecting the prototype PV installation based on the one or more configuration parameters comprises selecting the prototype PV installation having a size that is closest to a size of the PV installation.
4. The method of claim 1 , wherein selecting the prototype PV installation based on the one or more configuration parameters comprises selecting the prototype PV installation having an operational characteristic that is closest to an operational characteristic of the PV installation.
5. The method of claim 1 , wherein generating the clear-sky solar power generation level for the selected prototype PV installation comprises determining the clear-sky solar power generation level based on a parametric model of the selected prototype PV installation.
6. The method of claim 1 , wherein generating the clear-sky solar power generation level for the selected prototype PV installation comprises determining the clear-sky solar power generation level based on a current level of insolation within a solar region associated with the PV installation.
7. The method of claim 1 , wherein generating the clear-sky solar power generation level for the selected prototype PV installation comprises determining the clear-sky solar power generation level based on a predicted inverter efficiency associated with the PV installation.
8. The method of claim 1 , wherein generating the clear-sky solar power generation level for the selected prototype PV installation comprises determining the clear-sky solar power generation level based on a predicted system loss associated with the PV installation.
9. The method of claim 1 , wherein scaling the clear-sky solar power generation level for the selected prototype PV installation comprises modifying the clear-sky solar power generation level based on one or more environmental factors associated with the PV installation or a number of solar panels included in the PV installation.
10. The method of claim 1 , further comprising determining, by the computing device based on a current level of cloud cover in a target geographical area and the estimated clear-sky solar power generation level, a solar power generation level for the PV installation in the target geographical area.
11. One or more non-transitory computer-readable media storing program instructions that, when executed by one or more processors associated with a forecasting engine, cause the one or more processors to perform a method comprising:
determining one or more system characteristics associated with a solar power generation system;
selecting a prototype solar power generation system from a plurality of prototype solar power generation systems based on the one or more system characteristics;
generating a clear-sky solar power generation level for the selected prototype solar power generation system;
modifying the clear-sky solar power generation level for the selected prototype solar power generation system to generate an estimated clear-sky solar power generation level for the solar power generation system; and
performing, based on the estimated clear-sky solar power generation level for the solar power generation system, real-time solar power generation forecasting.
12. The one or more non-transitory computer-readable media of claim 11 , wherein the one or more system characteristics include one or more of a size of the solar power generation system, an operational characteristic of the solar power generation system, or a solar region associated with the solar power generation system.
13. The one or more non-transitory computer-readable media of claim 11 , wherein generating the clear-sky solar power generation level for the selected prototype solar power generation system further comprises determining the clear-sky solar power generation level based on a parametric model of the selected prototype solar power generation system.
14. The one or more non-transitory computer-readable media of claim 11 , wherein generating the clear-sky solar power generation level for the selected prototype solar power generation system comprises determining the clear-sky solar power generation level based on an amount of solar radiation within a solar region associated with the solar power generation system.
15. The one or more non-transitory computer-readable media of claim 11 , wherein modifying the clear-sky solar power generation level for the solar power generation system comprises modifying the clear-sky solar power generation level based on one or more environmental factors associated with the solar power generation system.
16. The one or more non-transitory computer-readable media of claim 11 , wherein modifying the clear-sky solar power generation level for the solar power generation system comprises scaling the clear-sky solar power generation level based on a number of solar panels included in the solar power generation system.
17. A forecasting system comprising:
a memory storing instructions; and
one or more processors;
wherein when the one or more processors execute the stored instructions, the one or more processors are configured to:
determine one or more configuration parameters associated with a plurality of solar panels;
select a prototype installation of solar panels from a plurality of prototype installations of solar panels based on the one or more configuration parameters;
generate a clear-sky solar power output for the selected prototype installation of solar panels;
generate an estimated clear-sky solar power output for the plurality of solar panels based on the clear-sky solar power output for the selected prototype installation of solar panels; and
perform, based on the estimated clear-sky solar power output for the plurality of solar panels, real-time solar power generation forecasting.
18. The forecasting system of claim 17 , wherein the one or more configuration parameters include one or more of a number of solar panels included in the plurality of solar panels, an operational characteristic of the plurality of solar panels, or a solar region associated with the plurality of solar panels.
19. The forecasting system of claim 17 , wherein to generate the estimated clear-sky solar power output for the plurality of solar panels, the one or more processors are configured to scale the clear-sky solar power output for the selected prototype installation of solar panels based on a number of solar panels included in the plurality of solar panels.
20. The forecasting system of claim 17 , wherein to generate the estimated clear-sky solar power output for the plurality of solar panels, the one or more processors are configured to modify the clear-sky solar power output for the selected prototype installation of solar panels based on one or more environmental factors associated with the plurality of solar panels.