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
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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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