Grid-connected PV in the U.S. has grown substantially over the past several years and grid operators are increasingly...
Metrics used in assessing irradiance model accuracy such as Root Mean Square Error (RMSE) and Mean Absolute Error...
This presentation provides the results of a study evaluating the short, medium and long-term accuracy of irradiance...
This article focuses on station pairs, and investigates the correlation of their short-term variability as a function...
This paper describes how to generate more accurate Weather-Adjusted Performance Guarantees for PV systems using a...
As solar development expands into higher latitudes—from Alaska to the Nordics—the need for accurate, high-resolution solar resource data becomes increasingly critical. These regions experience extreme seasonal variation in daylight hours, making precise modeling...
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....
PV forecasts are important for energy scheduling and grid stability. Traditional methods for near-term forecasts involve blending an ensemble of Numerical Weather Predictions (NWPs) into a single deterministic output, which is favored because it is simple to implement...