Denver / Istanbul / Minneapolis / Contract No. / Washington / DC / Milano / Washington / D.C. / Portland / Lisbon / London / San Diego / /
Company
Clean Edge Inc. / IBM / Golden CO. / Renewable Energy / National Renewable Energy Laboratory / Lawrence Berkeley National Laboratory / Pearson / Sustainable Energy LLC / /
Country
Italy / Turkey / United States / Portugal / United Kingdom / / /
Facility
National Renewable Energy Laboratory / Port Royal Road Springfield / bridge Available / / /
IndustryTerm
eFAST algorithm / energy industry / solar energy generation / dot product / ramp extraction algorithm / artificial neural network / satellite images / orders@ntis.fedworld.gov online ordering / door algorithm / energy community / measure-correlate-predict algorithms / solar energy test bed / solar energy penetration / electricity system operations / solar power systems / /
MarketIndex
KSI / /
Organization
American Statistical Assoc. / U.S. Department of Commerce National Technical Information Service / U.S. Department of Energy / U.S. Department of Energy office of Scientific / US Government / United States government / U.S. Department of Energy office of Energy Efficiency & Renewable Energy Operated / USA U.S. Department of Energy Washington / D.C. / Lausanne Power Tech Conf / Department of Energy To / Co-Op America Foundation / European Centre for Medium-Range Weather Forecasts / Alliance for Sustainable Energy / /
Person
Pat Corkery / Anthony Florita / Dean Armstrong / Hendrik F. Hamann / M. Milligan / V / Mathias Hodge / Dennis Schroeder / R. J. Bessa / V / Siyuan Lu / / /
Position
Corresponding author / contractor / /
ProvinceOrState
Minnesota / Oregon / California / Colorado / /
Technology
radiation / The eFAST algorithm / 5th Green Technologies / measure-correlate-predict algorithms / neural network / artificial intelligence / swinging door algorithm / The ramp extraction algorithm / /
Metrics for Evaluating the Accuracy of Solar Power Forecasting: Preprint