Multistep Forecasting for Short-Term Wind Speed Using an Optimized Extreme Learning Machine Network with Decomposition-Based Signal Filtering

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	Multistep Forecasting for Short-Term Wind Speed Using an Optimized Extreme Learning Machine Network with Decomposition-Based Signal Filtering
	Zhao, J; Wang, JZ; Liu, F
刊名	JOURNAL OF ENERGY ENGINEERING
	2016-09
卷号	142 期号:3
关键词	Multi-step strategy Ensemble empirical model decomposition Cuckoo search Extreme learning machine Hybrid forecasting method
ISSN号	0733-9402
通讯作者	Wang, JZ (reprint author), Dongbei Univ Finance & Econ, Sch Stat, Dalian 116025, Peoples R China.
学科主题	Energy & Fuels; Engineering
出版地	RESTON
语种	英语
WOS记录号	WOS:000383141900009
内容类型	期刊论文
源URL	[http://ir.lzu.edu.cn/handle/262010/180865]
专题	数学与统计学院_期刊论文
推荐引用方式 GB/T 7714	Zhao, J,Wang, JZ,Liu, F. Multistep Forecasting for Short-Term Wind Speed Using an Optimized Extreme Learning Machine Network with Decomposition-Based Signal Filtering[J]. JOURNAL OF ENERGY ENGINEERING,2016,142(3).
APA	Zhao, J,Wang, JZ,&Liu, F.(2016).Multistep Forecasting for Short-Term Wind Speed Using an Optimized Extreme Learning Machine Network with Decomposition-Based Signal Filtering.JOURNAL OF ENERGY ENGINEERING,142(3).
MLA	Zhao, J,et al."Multistep Forecasting for Short-Term Wind Speed Using an Optimized Extreme Learning Machine Network with Decomposition-Based Signal Filtering".JOURNAL OF ENERGY ENGINEERING 142.3(2016).