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	Hybrid Forecasting Approach Based on GRNN Neural Network and SVR Machine for Electricity Demand Forecasting
	Li, WD; Yang, X; Li, H; Su, LL
刊名	ENERGIES
	2017-01
卷号	10期号:1-1
关键词	electricity demand forecasting ensemble empirical mode decomposition (EEMD) generalized regression neural network (GRNN) support vector machine (SVM)
ISSN号	1996-1073
通讯作者	Li, WD (reprint author), Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Peoples R China.
学科主题	Energy & Fuels
出版地	BASEL
语种	英语
WOS记录号	WOS:000392422500044
内容类型	期刊论文
源URL	[http://ir.lzu.edu.cn/handle/262010/189057]
专题	数学与统计学院_期刊论文
推荐引用方式 GB/T 7714	Li, WD,Yang, X,Li, H,et al. Hybrid Forecasting Approach Based on GRNN Neural Network and SVR Machine for Electricity Demand Forecasting[J]. ENERGIES,2017,10(1-1).
APA	Li, WD,Yang, X,Li, H,&Su, LL.(2017).Hybrid Forecasting Approach Based on GRNN Neural Network and SVR Machine for Electricity Demand Forecasting.ENERGIES,10(1-1).
MLA	Li, WD,et al."Hybrid Forecasting Approach Based on GRNN Neural Network and SVR Machine for Electricity Demand Forecasting".ENERGIES 10.1-1(2017).

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