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	Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction
	Li, Yanfei; Wu, Haiping; Liu, Hui*
刊名	Energy Conversion and Management
	2018
卷号	167页码:203-219
关键词	Wind speed forecasting Hybrid model Empirical wavelet transform Long short term memory network Regularized extreme learning machine Inverse empirical wavelet transform
ISSN号	0196-8904
DOI	10.1016/j.enconman.2018.04.082
URL标识	查看原文
WOS记录号	WOS:000434000600018;EI:20182005189711
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3331828
专题	中南大学
作者单位	1.[Wu, Haiping 2.Li, Yanfei 3.Liu, Hui] Cent S Univ, Sch Traff & Transportat Engn, Key Lab Traff Safety Track, IAIR,Minist Educ, Changsha 410075, Hunan, Peoples R China.
推荐引用方式 GB/T 7714	Li, Yanfei,Wu, Haiping,Liu, Hui*. Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction[J]. Energy Conversion and Management,2018,167:203-219.
APA	Li, Yanfei,Wu, Haiping,&Liu, Hui*.(2018).Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction.Energy Conversion and Management,167,203-219.
MLA	Li, Yanfei,et al."Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction".Energy Conversion and Management 167(2018):203-219.

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