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文章基本信息

  • 标题:Electricity Safety Analysis and Improvement Based on User Classification
  • 本地全文:下载
  • 作者:Hongxia Zhu ; Qing Wang ; Congcong Li
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2020
  • 卷号:185
  • 页码:1-5
  • DOI:10.1051/e3sconf/202018501025
  • 出版社:EDP Sciences
  • 摘要:Analyzing electricity consumption behavior by classifying user groups and knowing each group’s characteristics are an important way to realize intelligent power consumption. This paper firstly classifies different types of users based on power consumption data and grasps the power consumption behavior of typical users. The main causes of accidents and alarms are then discussed based on the recorded events and power consumption curve. Finally, the corresponding solutions, which take the user’s social attributes and electricity consumption behavior into consideration are put forward to avoid the potential accidents.
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