LEADER 01563oam  2200409I  450 
001 9910709967603321
005 20181004120835.0
035   $a(CKB)5470000002474589
035   $a(OCoLC)1049982051
035   $a(EXLCZ)995470000002474589
100   $a20180827d2018      ua             0
101 0 $aeng
135   $aurcn|||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aProbabilistic short-term wind power forecasting based on pinball loss optimization $epreprint /$fMucun Sun [and four others]
210  1$a[Golden, Colo.] :$cNational Renewable Energy Laboratory,$d2018.
215   $a1 online resource (6 pages) $ccolor illustrations
225 1 $aConference paper ;$vNREL/CP-5D00-71247
300   $a"Presented at the 2018 IEEE International Conference on Probabilistic Methods Applies to Power Systems (PMAPS) Boise, Idaho, June 24-28, 2018."
300   $a"June 2018."
320   $aIncludes bibliographical references (page 5).
517   $aProbabilistic short-term wind power forecasting based on pinball loss optimization 
606   $aWind power$xForecasting
608   $aOnline resources.
615  0$aWind power$xForecasting.
700   $aSun$b Mucun$01401606
712 02$aNational Renewable Energy Laboratory (U.S.),
801  0$bGPO
801  1$bGPO
801  2$bMERUC
801  2$bGPO
906   $aBOOK
912   $a9910709967603321
996   $aProbabilistic short-term wind power forecasting based on pinball loss optimization$93470448
997   $aUNINA