Multi-dimensional scenario forecast for generation of multiple wind farms | |
Yang, Ming; Lin, You; Zhu, Simeng; Han, Xueshan; Wang, Hongtao | |
刊名 | Journal of Modern Power Systems and Clean Energy
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2015 | |
卷号 | 3期号:3页码:361-370 |
关键词 | Wind power generation forecast Multi-dimensional scenario forecast Support vector machine (SVM) Sparse Bayesian learning (SBL) Gaussian copula Dynamic conditional correlation matrix |
DOI | 10.1007/s40565-015-0110-6 |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/4775173 |
专题 | 山东大学 |
作者单位 | Shandong Univ, Key Lab Power Syst Intelligent Dispatch & Control, Lab Elect Vehicles Engn Shandong |
推荐引用方式 GB/T 7714 | Yang, Ming,Lin, You,Zhu, Simeng,et al. Multi-dimensional scenario forecast for generation of multiple wind farms[J]. Journal of Modern Power Systems and Clean Energy,2015,3(3):361-370. |
APA | Yang, Ming,Lin, You,Zhu, Simeng,Han, Xueshan,&Wang, Hongtao.(2015).Multi-dimensional scenario forecast for generation of multiple wind farms.Journal of Modern Power Systems and Clean Energy,3(3),361-370. |
MLA | Yang, Ming,et al."Multi-dimensional scenario forecast for generation of multiple wind farms".Journal of Modern Power Systems and Clean Energy 3.3(2015):361-370. |
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