Accurate Estimation Method of Customer Baseline Load for Continuous Participation of Industrial Users in Demand Response
A computational method combining K-means cluster analysis with long- and short-term memory neural network algorithm is proposed, and transfer learning is carried out by industrial homogeneous group information to further optimize the estimation effect. Accurate estimation of industrial customer powe...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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State Grid Energy Research Institute
2024-03-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202312036 |
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| _version_ | 1850249806451048448 |
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| author | Heng LIANG Geng HUANG Bin HOU Xi YANG Xiaohu LUO Da ZHANG |
| author_facet | Heng LIANG Geng HUANG Bin HOU Xi YANG Xiaohu LUO Da ZHANG |
| author_sort | Heng LIANG |
| collection | DOAJ |
| description | A computational method combining K-means cluster analysis with long- and short-term memory neural network algorithm is proposed, and transfer learning is carried out by industrial homogeneous group information to further optimize the estimation effect. Accurate estimation of industrial customer power baseline load under long-term continuous response is realized, and the accuracy of the demand response effect evaluation of industrial customers is improved. The effectiveness of the method is verified by the load data of industrial customers participating in demand response practice collected by the city-level virtual power plant platform. |
| format | Article |
| id | doaj-art-495ab709534c4cdf8bab669fa8d731ff |
| institution | OA Journals |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2024-03-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-495ab709534c4cdf8bab669fa8d731ff2025-08-20T01:58:24ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492024-03-01573344210.11930/j.issn.1004-9649.202312036zgdl-57-x-lianghengAccurate Estimation Method of Customer Baseline Load for Continuous Participation of Industrial Users in Demand ResponseHeng LIANG0Geng HUANG1Bin HOU2Xi YANG3Xiaohu LUO4Da ZHANG5Institute of Energy Environment and Economy, Tsinghua University, Beijing 100084, ChinaSchool of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaSchool of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaSichuan Energy Internet Research Institute, Tsinghua University, Chengdu 610000, ChinaSichuan Energy Internet Research Institute, Tsinghua University, Chengdu 610000, ChinaInstitute of Energy Environment and Economy, Tsinghua University, Beijing 100084, ChinaA computational method combining K-means cluster analysis with long- and short-term memory neural network algorithm is proposed, and transfer learning is carried out by industrial homogeneous group information to further optimize the estimation effect. Accurate estimation of industrial customer power baseline load under long-term continuous response is realized, and the accuracy of the demand response effect evaluation of industrial customers is improved. The effectiveness of the method is verified by the load data of industrial customers participating in demand response practice collected by the city-level virtual power plant platform.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202312036demand responsecustomer baseline load estimationcluster analysis |
| spellingShingle | Heng LIANG Geng HUANG Bin HOU Xi YANG Xiaohu LUO Da ZHANG Accurate Estimation Method of Customer Baseline Load for Continuous Participation of Industrial Users in Demand Response Zhongguo dianli demand response customer baseline load estimation cluster analysis |
| title | Accurate Estimation Method of Customer Baseline Load for Continuous Participation of Industrial Users in Demand Response |
| title_full | Accurate Estimation Method of Customer Baseline Load for Continuous Participation of Industrial Users in Demand Response |
| title_fullStr | Accurate Estimation Method of Customer Baseline Load for Continuous Participation of Industrial Users in Demand Response |
| title_full_unstemmed | Accurate Estimation Method of Customer Baseline Load for Continuous Participation of Industrial Users in Demand Response |
| title_short | Accurate Estimation Method of Customer Baseline Load for Continuous Participation of Industrial Users in Demand Response |
| title_sort | accurate estimation method of customer baseline load for continuous participation of industrial users in demand response |
| topic | demand response customer baseline load estimation cluster analysis |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202312036 |
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