This report, prepared with an Electric Program Investment Charge (EPIC) fund, describes the results of research to...
This presentation discusses how probabilistic forecasting enables electric utilities and grid operators to reduce...
This presentation demonstrates how a new approach to PV fleet forecasting can address the problem of artificially high...
This article presents and validates the latest version of the SUNY model for using satellite imagery to calculate...
Grid-connected PV in the U.S. has grown substantially over the past several years and grid operators are increasingly...
Lean how SolarAnywhere® FleetView™ is being integrated into CAISO planning and operations tools to provide power...
This article evaluates the ability of three operational satellite models (SolarAnywhere® Standard, Enhanced, and High...
This paper describes the initial validation of a method of quantifying PV variability by using satellite-derived solar...
Clean Power Research® is excited to introduce SolarAnywhere® high-resolution Typical GHI Year (TGY) and Typical DNI Year (TDY) datasets at 1-minute and 5-minute temporal resolutions. By leveraging AI-powered downscaling algorithms, these datasets deliver highly...
As utilities continue to navigate the complexities of interconnecting and managing distributed energy resources (DERs), Clean Power Research® is evolving FleetView® to meet the moment. With a refreshed user interface, seamless PowerClerk® integration and a roadmap...
This week, we’re pleased to present a guest post from GroundWork® Renewables’ Director of Data and Analytics Julie Chard. At GroundWork, we’re committed to delivering high-quality solar-meteorological (MET) data to reduce uncertainty in solar resource assessments. With more than 15 years of experience supporting the solar development community, our observational MET programs combine best-in-class equipment and […]