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	Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network
	Liu, Hui*; Mi, Xi-Wei; Li, Yan-Fei
刊名	Energy Conversion and Management
	2018
卷号	156页码:498-514
关键词	Wind speed forecasting Deep learning Empirical wavelet transform Long short term memory network Elman neural network
ISSN号	0196-8904
DOI	10.1016/j.enconman.2017.11.053
URL标识	查看原文
WOS记录号	WOS:000424310100039;EI:20174804477096
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3317092
专题	中南大学
作者单位	1.[Li, Yan-Fei 2.Mi, Xi-Wei 3.Liu, Hui] Cent S Univ, Sch Traff & Transportat Engn, Key Lab Traff Safety Track, Inst Artificial Intelligence & Robot,Minist Educ, Changsha 410075, Hunan, Peoples R China.
推荐引用方式 GB/T 7714	Liu, Hui*,Mi, Xi-Wei,Li, Yan-Fei. Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network[J]. Energy Conversion and Management,2018,156:498-514.
APA	Liu, Hui*,Mi, Xi-Wei,&Li, Yan-Fei.(2018).Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network.Energy Conversion and Management,156,498-514.
MLA	Liu, Hui*,et al."Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network".Energy Conversion and Management 156(2018):498-514.

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