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	Probabilistic Wind Generation Forecast Based on Sparse Bayesian Classification and Dempster-Shafer Theory
	Yang, Ming; Lin, You; Han, Xueshan
刊名	IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
	2016
卷号	52期号:3页码:1998-2005
关键词	Dempster-Shafer theory (DST) nonparametric approach probabilistic wind generation forecast sparse Bayesian classification (SBC) support vector machine (SVM)
DOI	10.1109/TIA.2016.2518995
会议名称	Annual Meeting of the IEEE-Industry-Applications-Society
URL标识	查看原文
会议日期	OCT 18-22, 2015
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4764644
专题	山东大学
作者单位	Shandong Univ, Minist Educ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 250061, Peoples R China.
推荐引用方式 GB/T 7714	Yang, Ming,Lin, You,Han, Xueshan. Probabilistic Wind Generation Forecast Based on Sparse Bayesian Classification and Dempster-Shafer Theory[J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS,2016,52(3):1998-2005.
APA	Yang, Ming,Lin, You,&Han, Xueshan.(2016).Probabilistic Wind Generation Forecast Based on Sparse Bayesian Classification and Dempster-Shafer Theory.IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS,52(3),1998-2005.
MLA	Yang, Ming,et al."Probabilistic Wind Generation Forecast Based on Sparse Bayesian Classification and Dempster-Shafer Theory".IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 52.3(2016):1998-2005.

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