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Analysis of User Energy Consumption Patterns Based on Data Mining

Authors :
Liu Weitao
Wang Fuqing
Shi Hang
Zhang Yan
Chen Ruobo
Source :
E3S Web of Conferences, Vol 213, p 02040 (2020)
Publication Year :
2020
Publisher :
EDP Sciences, 2020.

Abstract

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.

Subjects

Subjects :
Environmental sciences
GE1-350

Details

Language :
English, French
ISSN :
22671242
Volume :
213
Database :
Directory of Open Access Journals
Journal :
E3S Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.fe8b4ab1e8134402ad08048e0bd4bfc4
Document Type :
article
Full Text :
https://doi.org/10.1051/e3sconf/202021302040