LEADER 01862nam  2200445I  450 
001 9910702639803321
005 20150224155631.0
035   $a(CKB)5470000002429792
035   $a(OCoLC)903963365
035   $a(EXLCZ)995470000002429792
100   $a20150224d2014      ua             0
101 0 $aeng
135   $aurmn|||||||||
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aRamp forecasting performance from improved short-term wind power forecasting $epreprint /$fJ. Zhang [and three others]
210  1$a[Golden, Colo.] :$cNational Renewable Energy Laboratory,$d2014.
215   $a1 online resource (12 pages) $ccolor illustrations
225 1 $aNREL/CP ;$v5D00-61730
300   $aTitle from title screen (viewed Dec. 10, 2014).
300   $a"May 2014."
300   $a"To be presented at the ASME 2014 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2014) Buffalo, New York, August 17-20, 2014."
320   $aIncludes bibliographical references (pages 11-12).
517   $aRamp forecasting performance from improved short-term wind power forecasting 
606   $aWind energy conversion systems$xForecasting$vCongresses
606   $aWind power plants$xResearch$vCongresses
606   $aWind turbines$xTesting$vCongresses
608   $aConference papers and proceedings.$2lcgft
615  0$aWind energy conversion systems$xForecasting
615  0$aWind power plants$xResearch
615  0$aWind turbines$xTesting
700   $aZhang$b J.$01393143
712 02$aNational Renewable Energy Laboratory (U.S.),
801  0$bGPO
801  1$bGPO
906   $aBOOK
912   $a9910702639803321
996   $aRamp forecasting performance from improved short-term wind power forecasting$93457268
997   $aUNINA