| Issue |
E3S Web Conf.
Volume 213, 2020
2nd International Conference on Applied Chemistry and Industrial Catalysis (ACIC 2020)
|
|
|---|---|---|
| Article Number | 02040 | |
| Number of page(s) | 5 | |
| Section | Energy Mining Research and Composite Material Performance Analysis | |
| DOI | https://doi.org/10.1051/e3sconf/202021302040 | |
| Published online | 01 December 2020 | |
Analysis of User Energy Consumption Patterns Based on Data Mining
Chengnan Power Supply Branch of State Grid Tianjin Electric Power Co., Ltd
* Corresponding author: mayuzebj@163.com
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.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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