Heather Van Schoiack | Mar 14, 2012
This article evaluates the ability of three operational satellite models (SolarAnywhere® Standard, Enhanced, and High Resolution) to predict ground-based measured irradiance conditions. Results suggest that the performance of satellite-based monitoring approaches that...
Heather Van Schoiack | Mar 8, 2012
Metrics used in assessing irradiance model accuracy such as Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) are precisely defined. Their relative (%) counterpart, however, can be subject to interpretation and may cover a wide range of values for a given...
Heather Van Schoiack | Feb 8, 2012
This presentation provides the results of a study evaluating the short, medium and long-term accuracy of irradiance data derived from satellite imagery to measured data from CAISO. The research was presented at a Utility Variable-Generation Integration Group (UVIG)...
Heather Van Schoiack | Nov 8, 2011
This paper describes the initial validation of a method of quantifying PV variability by using satellite-derived solar data. The validation was performed using a network of high-speed solar irradiance data loggers in and around Napa, California. Download PDF...
Heather Van Schoiack | May 8, 2011
This paper introduces a novel approach to estimating the maximum short‐term output variability that an arbitrary fleet of PV systems places on any considered power grid. A clear understanding of variability will make it possible for utilities and control system...
