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. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论