In years recent to 2020, low solar-resource in the Eastern U.S. was observed in the SolarAnywhere® dataset. This paper...
Solar PV system specifications are critical to accurately modeling PV system production (along with high-quality...
This report, prepared with an Electric Program Investment Charge (EPIC) fund, describes new methods for improving...
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 calculates day-head forecast variability as function of historical clearness index based on intraday...
Although the uncertainty of satellite data such as SolarAnywhere® Data has been shown to be low, it can be challenging...
This article evaluates the accuracy of solar forecast models, including SolarAnywhere®, as a function of geographic...
This paper describes a study, funded by the U.S. Department of Energy, to evaluate new, state-of-the-art solar...
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...
Metrics used in assessing irradiance model accuracy such as Root Mean Square Error (RMSE) and Mean Absolute Error...
This article presents an experimental evaluation of the combined effective capacity of off-shore wind and...
This presentation provides the results of a study evaluating the short, medium and long-term accuracy of irradiance...
Clean Power Research® is excited to announce an enhancement to WattPlan®, our personalized rate and DER customer education and engagement software for utilities and energy agencies. As of July 1st, all rooftop solar estimations on WattPlan sites started using Google’s...
Brittany Farrell, Senior Researcher at Clean Power Research, recently published an article in AESP’s Energy Intel quarterly magazine (page 61). The article illustrates how utilities can use existing energy-usage data and innovative modeling to audit the energy...
Soiling and snow on PV systems can lead to significant annual energy losses, reaching up to 50%1 and 40%2 in certain regions. Our study investigates common models for estimating soiling and snow-related energy impacts. By analyzing these soiling and snow loss models at a 1 km spatial resolution, incorporating typical PV system parameters and leveraging […]