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	A novel combination forecasting model for wind power integrating least square support vector machine, deep belief network, singular spectrum analysis and locality-sensitive hashing
	Zhang, Yachao; Le, Jian; Liao, Xiaobing; Zheng, Feng; Li, Yinghai
刊名	ENERGY
	2019
卷号	168页码:558-572
关键词	Combination forecasting model Singular spectrum analysis Deep belief network Least square support vector machine Wind power Locality-sensitive hashing
ISSN号	0360-5442
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2888164
专题	福州大学
推荐引用方式 GB/T 7714	Zhang, Yachao,Le, Jian,Liao, Xiaobing,et al. A novel combination forecasting model for wind power integrating least square support vector machine, deep belief network, singular spectrum analysis and locality-sensitive hashing[J]. ENERGY,2019,168:558-572.
APA	Zhang, Yachao,Le, Jian,Liao, Xiaobing,Zheng, Feng,&Li, Yinghai.(2019).A novel combination forecasting model for wind power integrating least square support vector machine, deep belief network, singular spectrum analysis and locality-sensitive hashing.ENERGY,168,558-572.
MLA	Zhang, Yachao,et al."A novel combination forecasting model for wind power integrating least square support vector machine, deep belief network, singular spectrum analysis and locality-sensitive hashing".ENERGY 168(2019):558-572.

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