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	Deterministic and probabilistic interval prediction for short-term wind power generation based on variational mode decomposition and machine learning methods
	Zhang, Yachao; Liu, Kaipei; Qin, Liang; An, Xueli
刊名	ENERGY CONVERSION AND MANAGEMENT
	2016
卷号	112
关键词	Wind power Variational mode decomposition Combined forecasting model Self-adaptive multi-strategy differential evolution Probabilistic interval prediction Quantile regression averaging
ISSN号	0196-8904
DOI	10.1016/j.enconman.2016.01.023
URL标识	查看原文
收录类别	SCIE ; ESI高被引论文
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4091414
专题	武汉大学
推荐引用方式 GB/T 7714	Zhang, Yachao,Liu, Kaipei,Qin, Liang,et al. Deterministic and probabilistic interval prediction for short-term wind power generation based on variational mode decomposition and machine learning methods[J]. ENERGY CONVERSION AND MANAGEMENT,2016,112.
APA	Zhang, Yachao,Liu, Kaipei,Qin, Liang,&An, Xueli.(2016).Deterministic and probabilistic interval prediction for short-term wind power generation based on variational mode decomposition and machine learning methods.ENERGY CONVERSION AND MANAGEMENT,112.
MLA	Zhang, Yachao,et al."Deterministic and probabilistic interval prediction for short-term wind power generation based on variational mode decomposition and machine learning methods".ENERGY CONVERSION AND MANAGEMENT 112(2016).

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