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...
Public Service Company of New Mexico (PNM®) is showing what’s possible when utilities modernize their service request process. With more than 12,000 requests each year, from new home connections to complex commercial upgrades, PNM needed a better way to manage the...
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. With more than 15 years of experience supporting the solar development community, our observational MET programs combine best-in-class equipment and […]
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 in operations. However, deterministic forecasts do not convey any information about marginal risks or the propensity for […]