Electricity Safety Analysis and Improvement Based on User Classification

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 behavi...

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Main Authors: Zhu Hongxia, Wang Qing, Li Congcong, Du Yan, Yu Chao
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/45/e3sconf_iceeb2020_01025.pdf
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author Zhu Hongxia
Wang Qing
Li Congcong
Du Yan
Yu Chao
author_facet Zhu Hongxia
Wang Qing
Li Congcong
Du Yan
Yu Chao
author_sort Zhu Hongxia
collection DOAJ
description 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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language English
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spelling doaj.art-29f48b6575d54d619826f460ae528c252022-12-21T21:24:52ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011850102510.1051/e3sconf/202018501025e3sconf_iceeb2020_01025Electricity Safety Analysis and Improvement Based on User ClassificationZhu Hongxia0Wang Qing1Li Congcong2Du Yan3Yu Chao4State Grid Shandong Electric Power Research InstituteState Grid Shandong Electric Power Research InstituteState Grid Shandong Electric Power Research InstituteState Grid Shandong Electric Power Research InstituteZhongShiYiTong GroupAnalyzing 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/45/e3sconf_iceeb2020_01025.pdf
spellingShingle Zhu Hongxia
Wang Qing
Li Congcong
Du Yan
Yu Chao
Electricity Safety Analysis and Improvement Based on User Classification
E3S Web of Conferences
title Electricity Safety Analysis and Improvement Based on User Classification
title_full Electricity Safety Analysis and Improvement Based on User Classification
title_fullStr Electricity Safety Analysis and Improvement Based on User Classification
title_full_unstemmed Electricity Safety Analysis and Improvement Based on User Classification
title_short Electricity Safety Analysis and Improvement Based on User Classification
title_sort electricity safety analysis and improvement based on user classification
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/45/e3sconf_iceeb2020_01025.pdf
work_keys_str_mv AT zhuhongxia electricitysafetyanalysisandimprovementbasedonuserclassification
AT wangqing electricitysafetyanalysisandimprovementbasedonuserclassification
AT licongcong electricitysafetyanalysisandimprovementbasedonuserclassification
AT duyan electricitysafetyanalysisandimprovementbasedonuserclassification
AT yuchao electricitysafetyanalysisandimprovementbasedonuserclassification