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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