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...
Heather Van Schoiack | Feb 11, 2015
In this presentation, you’ll learn about which type of solar irradiance data—typical year, ground or satellite—is appropriate for each stage of solar project development. The presentation then discusses the value of combining satellite and ground and data for...
Phil Gruenhagen | Jun 21, 2014
This paper describes procedures suitable for the optimal combination of ground-based and satellite-based irradiance data to reduce the overall uncertainty of the solar resource assessment. It presents a case study depicting the application of these approaches, and...
