This presentation demonstrates how a new approach to PV fleet forecasting can address the problem of artificially high...
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 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...
Learn 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...
SolarAnywhere® V4.1 increases accuracy at hourly, monthly and annual timescales—giving users greater confidence in project finance. MeteoLens™ adds a first‑of‑its‑kind capability for asset owners to quantify and finance projects, while accounting for the long‑term...
Accurate solar resource data is the foundation of every successful solar project. Even small differences in resource estimates and data uncertainty can have outsized financial implications, influencing both downside risk and potential upside through improved project...
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...