Analysis of Customer Power Consumption Behavior Based on DPSO-Kmeans under the Ubiquitous Power Internet of Things

In the construction of the ubiquitous power Internet of Things, it is indispensable to analyze customers′ electricity consumption behavior for power companies. In previous studies, the K-means clustering algorithm is one of the commonly used methods for analyzing customer electricity consumption beh...

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Hauptverfasser:	WANG Ying, XIANG Wen, ZHANG Qun, GAO Xiuyun
Format:	Artikel
Sprache:	Chinesisch
Veröffentlicht:	Harbin University of Science and Technology Publications 2022-04-01
Schriftenreihe:	Journal of Harbin University of Science and Technology
Schlagworte:	analysis of electricity consumption k-means clustering algorithm initial centroid dynamic particle swarm algorithm electricity usage behavior model
Online-Zugang:	https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2082
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Analysis of Customer Power Consumption Behavior Based on DPSO-Kmeans under the Ubiquitous Power Internet of Things

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