Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm

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	Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm
	Wu, Jie; Wang, Jianzhou; Qin, Shanshan; Lu, Haiyan
刊名	International Journal of Green Energy
	2016-09-01
卷号	13 期号:11 页码:1145-1162
关键词	Anomalous value K-means clustering algorithm parameter optimization wind energy wind power classification
ISSN号	1543-5075
通讯作者	Wang, JZ (reprint author), Dongbei Univ Finance & Econ, Sch Stat, Dalian 116025, Peoples R China.
学科主题	Thermodynamics; Science & Technology - Other Topics; Energy & Fuels
出版地	PHILADELPHIA
语种	英语
WOS记录号	WOS:000384200100009
内容类型	期刊论文
源URL	[http://ir.lzu.edu.cn/handle/262010/182373]
专题	资源环境学院_期刊论文
推荐引用方式 GB/T 7714	Wu, Jie,Wang, Jianzhou,Qin, Shanshan,et al. Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm[J]. International Journal of Green Energy,2016,13(11):1145-1162.
APA	Wu, Jie,Wang, Jianzhou,Qin, Shanshan,&Lu, Haiyan.(2016).Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm.International Journal of Green Energy,13(11),1145-1162.
MLA	Wu, Jie,et al."Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm".International Journal of Green Energy 13.11(2016):1145-1162.