Hope Smith | Jun 29, 2016
This article calculates day-head forecast variability as function of historical clearness index based on intraday irradiance variability. In this paper we address the use of satellite data as a proxy for ground data to determine the clearness index of a day, and...
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...