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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
关键词	Wind power Combination forecasting model Deep belief network Singular spectrum analysis Locality-sensitive hashing Least square support vector machine
ISSN号	0360-5442
DOI	10.1016/j.energy.2018.11.128
URL标识	查看原文
收录类别	SCIE
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4217016
专题	武汉大学
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.
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.
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).

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