An Optimized Forecasting Approach Based on Grey Theory and Cuckoo Search Algorithm: A Case Study for Electricity Consumption in New South Wales

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	An Optimized Forecasting Approach Based on Grey Theory and Cuckoo Search Algorithm: A Case Study for Electricity Consumption in New South Wales
	Jiang, P; Zhou, QP; Jiang, HY; Dong, Y
刊名	ABSTRACT AND APPLIED ANALYSIS
	2014
页码	-
ISSN号	1085-3375
通讯作者	Zhou, QP (reprint author), Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Peoples R China.
学科主题	Mathematics
出版地	NEW YORK
语种	英语
WOS记录号	WOS:000337383100001
内容类型	期刊论文
源URL	[http://ir.lzu.edu.cn/handle/262010/118878]
专题	数学与统计学院_期刊论文
推荐引用方式 GB/T 7714	Jiang, P,Zhou, QP,Jiang, HY,et al. An Optimized Forecasting Approach Based on Grey Theory and Cuckoo Search Algorithm: A Case Study for Electricity Consumption in New South Wales[J]. ABSTRACT AND APPLIED ANALYSIS,2014:-.
APA	Jiang, P,Zhou, QP,Jiang, HY,&Dong, Y.(2014).An Optimized Forecasting Approach Based on Grey Theory and Cuckoo Search Algorithm: A Case Study for Electricity Consumption in New South Wales.ABSTRACT AND APPLIED ANALYSIS,-.
MLA	Jiang, P,et al."An Optimized Forecasting Approach Based on Grey Theory and Cuckoo Search Algorithm: A Case Study for Electricity Consumption in New South Wales".ABSTRACT AND APPLIED ANALYSIS (2014):-.