LEADER 01771nam  2200433Ic 450 
001 9910705269003321
005 20141210145059.0
035   $a(CKB)5470000002448675
035   $a(OCoLC)890946520
035   $a(EXLCZ)995470000002448675
100   $a20140919d2013      uy             0
101 0 $aeng
135   $aurmn||||a||||
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aMetrics for evaluating the accuracy of solar power forecasting /$fJ. Zhang [and five others]
210  1$aGolden, CO :$cNational Renewable Energy Laboratory,$d[2013?]
215   $a1 online resource (19 pages) $ccolor illustrations, color maps
225 1 $aNREL/PR ;$v5D00-60465
300   $aTitle from title screen (viewed on Sept. 19, 2014).
300   $a"Oct. 21-22, 2013, 3rd International Workshop on Integration of Solar Power into Power Systems, London, UK."
606   $aPhotovoltaic power generation$xForecasting$xEvaluation
606   $aSolar energy$xForecasting$xEvaluation
606   $aInterconnected electric utility systems$xForecasting
606   $aSolar energy$xResearch
615  0$aPhotovoltaic power generation$xForecasting$xEvaluation.
615  0$aSolar energy$xForecasting$xEvaluation.
615  0$aInterconnected electric utility systems$xForecasting.
615  0$aSolar energy$xResearch.
700   $aZhang$b Jie$0639315
712 02$aNational Renewable Energy Laboratory (U.S.),
712 12$aInternational Workshop on the Integration of Solar Power into Power Systems$d(3rd :$f2013 :$eLondon, England)
801  0$bGPO
801  1$bGPO
906   $aBOOK
912   $a9910705269003321
996   $aMetrics for evaluating the accuracy of solar power forecasting$93538148
997   $aUNINA