中国电力2024，Vol.57Issue(3)：34-42,9.DOI:10.11930/j.issn.1004-9649.202312036
工业用户连续参与需求响应的用户基线负荷精准计算方法
Accurate Estimation Method of Customer Baseline Load for Continuous Participation of Industrial Users in Demand Response
摘要
Abstract
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.关键词
需求响应/用户基线负荷计算/聚类分析Key words
demand response/customer baseline load estimation/cluster analysis引用本文复制引用
梁珩,黄耕,侯宾,杨玺,罗小虎,张达..工业用户连续参与需求响应的用户基线负荷精准计算方法[J].中国电力,2024,57(3):34-42,9.基金项目
国家自然科学基金资助项目(71974109,72140005). This work is supported by National Natural Science Foundation of China(No.71974109,No.72140005). （71974109,72140005）
