The SolarAnywhere® team transforms satellite images into industry-leading solar irradiance data. We make algorithms, not satellites, so when NOAA/NASA upgrades the hardware, we take notice of the possibilities—and get to work. On January 2, 2018 we made a seamless...
In recent years, Clean Power Research created a solar forecast method to accurately predict power production of “invisible,” behind-the-meter PV systems—typically those found on homes and commercial buildings. In our approach, forecasts are generated by simulating the...
Last week, the Utility Variable-Generation Integration Group (UVIG) recognized Tom Hoff, Clean Power Research founder and president of Research and Consulting, with an award for his ongoing contributions to solar forecasting. The ability to forecast the output of tens...
In our previous two posts, we described how to incorporate PV diversity (diversity in both design configuration and geography) in fleet-level modeling, and how to generate high frequency fleet power data with 60-second temporal resolution. In this post, we will show...
Our previous post discussed how to produce solar PV production profiles for fleets of PV systems. In it we highlighted the importance of including both system diversity (tilt, orientation, shading, etc.), and geographical diversity (system locations and relative...
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