Troubleshooting ground measurements with satellite irradiance data We recently reported how the use of SolarAnywhere® Data made it possible for us to detect an unreported irradiance sensor calibration issue at one of the nation’s most trusted reference stations: the...
How accurate are SolarAnywhere® irradiance data? They are accurate enough to identify an undetected calibration error at one of the nation’s most trusted ground truth stations. Figure 1 presents Direct Normal Irradiance (DNI) and Global Horizontal Irradiance (GHI)...
In our last blog, we talked about the performance of SolarAnywhere® v4 PV fleet forecasts, and discussed how accuracy was a function of the PV fleet’s geographic footprint. For instance, SolarAnywhere hour-ahead forecasts in the Western U.S. were shown to have a...
PV fleet forecasts Solar forecasts are traditionally concerned with predicting the output of solar PV systems at particular locations. Consequently, much of what is known about solar forecast accuracy is centered on point validations. Fleet forecasts consider the...
The capacity of behind-the-meter PV systems is growing steadily. Figure 1 illustrates that there is over 5 GW of PV in California alone. The number is continuing to increase. The result is that behind-the-meter PV fleet forecasts are becoming increasingly important...
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