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	New wind speed forecasting approaches using fast ensemble empirical model decomposition, genetic algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks
	Liu, Hui*; Tian, Hongqi; Liang, Xifeng; Li, Yanfei
刊名	Renewable Energy
	2015
卷号	83页码:1066-1075
关键词	Wind energy Wind speed forecasting Decomposition Mind Evolutionary Algorithm Genetic algorithm Artificial Neural Networks
ISSN号	0960-1481
DOI	10.1016/j.renene.2015.06.004
URL标识	查看原文
WOS记录号	WOS:000358455100103;EI:20152400934611
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3315672
专题	中南大学
作者单位	1.[Tian, Hongqi 2.Liang, Xifeng 3.Li, Yanfei 4.Liu, Hui] Cent S Univ, 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*,Tian, Hongqi,Liang, Xifeng,et al. New wind speed forecasting approaches using fast ensemble empirical model decomposition, genetic algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks[J]. Renewable Energy,2015,83:1066-1075.
APA	Liu, Hui*,Tian, Hongqi,Liang, Xifeng,&Li, Yanfei.(2015).New wind speed forecasting approaches using fast ensemble empirical model decomposition, genetic algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks.Renewable Energy,83,1066-1075.
MLA	Liu, Hui*,et al."New wind speed forecasting approaches using fast ensemble empirical model decomposition, genetic algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks".Renewable Energy 83(2015):1066-1075.

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