Heather Van Schoiack | Jun 29, 2016
Although the uncertainty of satellite data such as SolarAnywhere® Data has been shown to be low, it can be challenging to determine the uncertainty of satellite data that has been corrected using ground data. This paper explores the limitations of traditional...
Hope Smith | Jun 27, 2016
This paper quantifies the residual errors in plane of array irradiance (POAI) at locations where ground-measured GHI and POAI instruments are installed. Reductions in error to the modeled PAOI are observed when using satellite derived GHI that has been tuned with...
Heather Van Schoiack | Jun 12, 2016
This article evaluates the accuracy of solar forecast models, including SolarAnywhere®, as a function of geographic footprint ranging from a single point, to regions spanning several hundred kilometers. The forecast time horizons range from one-hour ahead, to two-days...
Heather Van Schoiack | Feb 26, 2016
This paper describes a study, funded by the U.S. Department of Energy, to evaluate new, state-of-the-art solar irradiance forecasting models, and integrate behind-the-meter PV forecasts into the California Independent System Operator’s (ISO) load forecasts. This...
Phil Gruenhagen | May 3, 2015
This article presents and validates the latest version of the SUNY model for using satellite imagery to calculate irradiance. The new version includes an improved treatment of clear sky, the ingestion of now-casting numerical weather predictions, and a more effective...
