02229oam 2200601I 450 991070530040332120170206091530.0(CKB)5470000002448358(OCoLC)876410352(OCoLC)995470000002448358(EXLCZ)99547000000244835820140411j201310 ua 0engurmn|||||||||txtrdacontentcrdamediacrrdacarrierMetrics for evaluating the accuracy of solar power forecasting preprint /J. Zhang [and five others][Golden, Colo.] :National Renewable Energy Laboratory,October 2013.1 online resource (8 pages) color illustrations, color mapsNREL/CP ;5500-60142"October 2013.""To be presented at 3rd International Workshop on Integration of Solar Power into Power Systems, London, England, October 21-22, 2013."Includes bibliographical references (page 8).Metrics for evaluating the accuracy of solar power forecasting ForecastingMethodologySolar energyUnited StatesForecastingInterconnected electric utility systemsForecastingSolar energyResearchForecastingMethodologyfastInterconnected electric utility systemsForecastingfastSolar energyResearchfastForecastingMethodology.Solar energyForecasting.Interconnected electric utility systemsForecasting.Solar energyResearch.ForecastingMethodology.Interconnected electric utility systemsForecasting.Solar energyResearch.Zhang Jie639315National Renewable Energy Laboratory (U.S.),SOESOESOEOCLCOOCLCFOCLCOSOEGPOBOOK9910705300403321Metrics for evaluating the accuracy of solar power forecasting3538148UNINA