QQ客服 官方微博 反馈留言

	A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks
	Liu, Hui*; Chen, Chao; Tian, Hong-Qi; Li, Yan-Fei
刊名	Renewable Energy
	2012
卷号	48页码:545-556
关键词	Wind speed Hybrid algorithm Short-term forecasting Empirical mode decomposition Artificial neural networks
ISSN号	0960-1481
DOI	10.1016/j.renene.2012.06.012
URL标识	查看原文
WOS记录号	WOS:000307429500062;EI:20123015275167
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3314989
专题	中南大学
作者单位	1.[Li, Yan-Fei 2.Liu, Hui 3.Tian, Hong-Qi] Cent S Univ, Key Lab Traff Safety Track, Minist Educ, Sch Traff & Transportat Engn, Changsha 410075, Hunan, Peoples R China.
推荐引用方式 GB/T 7714	Liu, Hui*,Chen, Chao,Tian, Hong-Qi,et al. A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks[J]. Renewable Energy,2012,48:545-556.
APA	Liu, Hui*,Chen, Chao,Tian, Hong-Qi,&Li, Yan-Fei.(2012).A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks.Renewable Energy,48,545-556.
MLA	Liu, Hui*,et al."A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks".Renewable Energy 48(2012):545-556.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。