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文章基本信息

  • 标题:Analysis of User Energy Consumption Patterns Based on Data Mining
  • 本地全文:下载
  • 作者:Weitao Liu ; Fuqing Wang ; Hang Shi
  • 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:213
  • 页码:1-5
  • DOI:10.1051/e3sconf/202021302040
  • 出版社:EDP Sciences
  • 摘要:The energy use behavior analysis method can dig out the user’s energy use behavior rules from the energy use big data, thereby improving the quality of the grid-side management service in the integrated energy system. Firstly, it summarizes the characteristics of the integrated energy system and constructs the integrated energy system service system; secondly, it summarizes the data-driven electricity consumption behavior analysis research model. Then, it elaborates on the collection and aggregation of electricity consumption information, and refined user classification. Next, the comprehensive application of energy consumption behavior analysis in load forecasting, demand response modeling and other typical scenarios is deeply analyzed. Finally, the challenges that may be encountered in further research are clarified and the follow-up work is prospected.
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