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...
PowerClerk® API Integrations using Python can improve the efficiency of any PowerClerk program. Connecting digital systems to share data will reduce mismatches, errors, and improve accuracy. Automating review processes, updating results from inspections, or work order...
Electric utilities are facing unprecedented challenges as the rapid growth of behind-the-meter (BTM) distributed energy resources (DERs) such as solar PV and electric vehicles redefine the requirements to plan, operate and maintain a reliable grid. The use of...
Clean Power Research® is excited to announce the public beta release of our new SolarAnywhere monitoring API, designed to provide you with scalable, seamless and efficient access to real-time data. This new, synchronous API supports fast and reliable data retrieval to help owners and operators efficiently monitor the performance of their solar assets. Closing the […]