Wind power multi-step interval prediction based on ensemble empirical mode decomposition-sample entropy and optimized extreme learning machine | |
Zhang, Yachao; Liu, Kaipei; Qin, Liang; Fang, Rengcun | |
刊名 | Dianwang Jishu/Power System Technology |
2016 | |
卷号 | 40期号:7 |
ISSN号 | 1000-3673 |
DOI | 10.13335/j.1000-3673.pst.2016.07.017 |
URL标识 | 查看原文 |
收录类别 | EI |
语种 | 中文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/4213212 |
专题 | 武汉大学 |
推荐引用方式 GB/T 7714 | Zhang, Yachao,Liu, Kaipei,Qin, Liang,et al. Wind power multi-step interval prediction based on ensemble empirical mode decomposition-sample entropy and optimized extreme learning machine[J]. Dianwang Jishu/Power System Technology,2016,40(7). |
APA | Zhang, Yachao,Liu, Kaipei,Qin, Liang,&Fang, Rengcun.(2016).Wind power multi-step interval prediction based on ensemble empirical mode decomposition-sample entropy and optimized extreme learning machine.Dianwang Jishu/Power System Technology,40(7). |
MLA | Zhang, Yachao,et al."Wind power multi-step interval prediction based on ensemble empirical mode decomposition-sample entropy and optimized extreme learning machine".Dianwang Jishu/Power System Technology 40.7(2016). |
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