电力需求侧管理2024，Vol.26Issue(3)：62-68,7.DOI:10.3969/j.issn.1009-1831.2024.03.010
基于LSTM网络的分散式电采暖负荷仿真分析
Simulation analysis of distributed electric heating load based on LSTM network
摘要
Abstract
Decentralized electric heating load based on equivalent thermal parameter model faces difficulties in parameter identification and large simulation errors,which cannot meet the needs of power grid regulation.Therefore,a simulation model for decentralized electric heating load is proposed based on long short term memory(LSTM)network.Firstly,the model parameters are determined according to the heat transfer process between the distributed electric heating load and the building.Then the LSTM network parameters are determined by combining the model input variables and output variables to establish the load model.By dynamically updating the indoor temperature in the input data of the test set,the long-term temperature prediction is realized.In order to measure the accuracy of the model,model error evaluation indexes in both vertical and horizontal dimensions are proposed.Finally,the example analysis results show that compared with the second-order equivalent thermal parameter model of distributed electric heating load,the longitudinal error and lateral error of the pre-diction results of the distributed electric heating load model based on LSTM network are smaller and the model accuracy is higher.关键词
长短时记忆网络/分散式电采暖负荷/负荷建模/误差评价Key words
long short-term memory network/distributed electric heating load/load modeling/error evaluation分类
信息技术与安全科学引用本文复制引用
刘亚轩,王思言,姜警,张利伟..基于LSTM网络的分散式电采暖负荷仿真分析[J].电力需求侧管理,2024,26(3):62-68,7.基金项目
国家电网有限公司科技项目(5400-202218423A-2-0-ZN) （5400-202218423A-2-0-ZN）
