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...
Electrification programs offered through state and local organizations are changing the U.S. electric utility landscape and reshaping demand side management (DSM) programs. Increased complexity, ever-changing baseline efficiencies, and the shifting focus from MWh to...
Clean Power Research® is thrilled to announce the launch of SolarAnywhere® Sub-Hourly Typical Meteorological Year (TMY) irradiance and weather data! This feature provides SolarAnywhere customers with sub-hourly data, enhancing the precision of solar resource assessments. By offering granular data at 15-, 30- and 60-minute temporal resolutions and at 1-km spatial resolution, we empower SolarAnywhere users […]
Clean Power Research® is thrilled to announce the launch of SolarAnywhere® Sub-Hourly Typical Meteorological Year (TMY) irradiance and weather data! This feature provides SolarAnywhere customers with sub-hourly data, enhancing the precision of solar resource assessments. By offering granular data at 15-, 30- and 60-minute temporal resolutions and at 1-km spatial resolution, we empower SolarAnywhere users […]