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	Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM
	Liu, Hui*; Mi, Xiwei; Li, Yanfei
刊名	Energy Conversion and Management
	2018
卷号	159页码:54-64
关键词	Wind speed forecasting Variational mode decomposition Singular spectrum analysis Deep learning Long short term memory network Extreme learning machine
ISSN号	0196-8904
DOI	10.1016/j.enconman.2018.01.010
URL标识	查看原文
WOS记录号	WOS:000426412000006;EI:20181304955474
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3316954
专题	中南大学
作者单位	1.[Li, Yanfei 2.Liu, Hui 3.Mi, Xiwei] Cent S Univ, Inst Artificial Intelligence & Robot, Sch Traff & Transportat Engn, Minist Educ,Key Lab Traff Safety Track, Changsha 410075, Hunan, Peoples R China.
推荐引用方式 GB/T 7714	Liu, Hui*,Mi, Xiwei,Li, Yanfei. Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM[J]. Energy Conversion and Management,2018,159:54-64.
APA	Liu, Hui*,Mi, Xiwei,&Li, Yanfei.(2018).Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM.Energy Conversion and Management,159,54-64.
MLA	Liu, Hui*,et al."Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM".Energy Conversion and Management 159(2018):54-64.

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