Analysis of User Energy Consumption Patterns Based on Data Mining
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 con...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2020-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/73/e3sconf_acic2020_02040.pdf |
| _version_ | 1818663656912584704 |
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| author | Liu Weitao Wang Fuqing Shi Hang Zhang Yan Chen Ruobo |
| author_facet | Liu Weitao Wang Fuqing Shi Hang Zhang Yan Chen Ruobo |
| author_sort | Liu Weitao |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-17T05:20:19Z |
| format | Article |
| id | doaj.art-fe8b4ab1e8134402ad08048e0bd4bfc4 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-17T05:20:19Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-fe8b4ab1e8134402ad08048e0bd4bfc42022-12-21T22:01:59ZengEDP SciencesE3S Web of Conferences2267-12422020-01-012130204010.1051/e3sconf/202021302040e3sconf_acic2020_02040Analysis of User Energy Consumption Patterns Based on Data MiningLiu Weitao0Wang Fuqing1Shi Hang2Zhang Yan3Chen Ruobo4Chengnan Power Supply Branch of State Grid Tianjin Electric Power Co., LtdChengnan Power Supply Branch of State Grid Tianjin Electric Power Co., LtdChengnan Power Supply Branch of State Grid Tianjin Electric Power Co., LtdChengnan Power Supply Branch of State Grid Tianjin Electric Power Co., LtdChengnan Power Supply Branch of State Grid Tianjin Electric Power Co., LtdThe 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/73/e3sconf_acic2020_02040.pdf |
| spellingShingle | Liu Weitao Wang Fuqing Shi Hang Zhang Yan Chen Ruobo Analysis of User Energy Consumption Patterns Based on Data Mining E3S Web of Conferences |
| title | Analysis of User Energy Consumption Patterns Based on Data Mining |
| title_full | Analysis of User Energy Consumption Patterns Based on Data Mining |
| title_fullStr | Analysis of User Energy Consumption Patterns Based on Data Mining |
| title_full_unstemmed | Analysis of User Energy Consumption Patterns Based on Data Mining |
| title_short | Analysis of User Energy Consumption Patterns Based on Data Mining |
| title_sort | analysis of user energy consumption patterns based on data mining |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/73/e3sconf_acic2020_02040.pdf |
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