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100   $a20140411j201310    ua             0
101 0 $aeng
135   $aurmn|||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMetrics for evaluating the accuracy of solar power forecasting $epreprint /$fJ. Zhang [and five others]
210  1$a[Golden, Colo.] :$cNational Renewable Energy Laboratory,$dOctober 2013.
215   $a1 online resource (8 pages) $ccolor illustrations, color maps
225 1 $aNREL/CP ;$v5500-60142
300   $a"October 2013."
300   $a"To be presented at 3rd International Workshop on Integration of Solar Power into Power Systems, London, England, October 21-22, 2013."
320   $aIncludes bibliographical references (page 8).
517   $aMetrics for evaluating the accuracy of solar power forecasting 
606   $aForecasting$xMethodology
606   $aSolar energy$zUnited States$xForecasting
606   $aInterconnected electric utility systems$xForecasting
606   $aSolar energy$xResearch
606   $aForecasting$xMethodology$2fast
606   $aInterconnected electric utility systems$xForecasting$2fast
606   $aSolar energy$xResearch$2fast
615  0$aForecasting$xMethodology.
615  0$aSolar energy$xForecasting.
615  0$aInterconnected electric utility systems$xForecasting.
615  0$aSolar energy$xResearch.
615  7$aForecasting$xMethodology.
615  7$aInterconnected electric utility systems$xForecasting.
615  7$aSolar energy$xResearch.
700   $aZhang$b Jie$0639315
712 02$aNational Renewable Energy Laboratory (U.S.),
801  0$bSOE
801  1$bSOE
801  2$bSOE
801  2$bOCLCO
801  2$bOCLCF
801  2$bOCLCO
801  2$bSOE
801  2$bGPO
906   $aBOOK
912   $a9910705300403321
996   $aMetrics for evaluating the accuracy of solar power forecasting$93538148
997   $aUNINA