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	Clustering analysis of user power interaction behavior based on self-organizing center k-means algorithm
	Zhou, B.; Liu, B.; Wang, D.; Lan, Y.; Ma, X.; Sun, D.; Huo, Q.
刊名	Dianli Jianshe/Electric Power Construction
	2019
卷号	Vol.40 No.1页码:68-76
关键词	Adjustment potential indicator Clustering analysis Load data Self-organizing center k-means algorithm User interaction
ISSN号	1000-7229
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/2887718
专题	天津大学
作者单位	1.a Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin, 300072, China 2.b Qingdao Institute for Ocean Technology, Tianjin University, Qingdao, 266235, China
推荐引用方式 GB/T 7714	Zhou, B.,Liu, B.,Wang, D.,et al. Clustering analysis of user power interaction behavior based on self-organizing center k-means algorithm[J]. Dianli Jianshe/Electric Power Construction,2019,Vol.40 No.1:68-76.
APA	Zhou, B..,Liu, B..,Wang, D..,Lan, Y..,Ma, X..,...&Huo, Q..(2019).Clustering analysis of user power interaction behavior based on self-organizing center k-means algorithm.Dianli Jianshe/Electric Power Construction,Vol.40 No.1,68-76.
MLA	Zhou, B.,et al."Clustering analysis of user power interaction behavior based on self-organizing center k-means algorithm".Dianli Jianshe/Electric Power Construction Vol.40 No.1(2019):68-76.

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