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

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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Bibliographic Details
Main Authors: WANG Ying, XIANG Wen, ZHANG Qun, GAO Xiuyun
Format: Article
Language:zho
Published: Harbin University of Science and Technology Publications 2022-04-01
Series:Journal of Harbin University of Science and Technology
Subjects:
analysis of electricity consumption
k-means clustering algorithm
initial centroid
dynamic particle swarm algorithm
electricity usage behavior model
Online Access:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2082
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