现代电力2025，Vol.42Issue(2)：369-376,8.DOI:10.19725/j.cnki.1007-2322.2023.0110
基于K-means聚类与LSTM模型的多能源耦合电力负荷预测
Research on Multi-energy Coupled Power Load Prediction Based on K-means Clustering and LSTM Model
葛亚明 1仇晨光 1谢丽荣 2李艺丰 1李刚 1赵玉林1
作者信息
- 1. 国网江苏省电力有限公司,江苏省 南京市 211102
- 2. 国电南瑞南京控制系统有限公司,江苏省 南京市 211100
- 折叠
摘要
Abstract
With the proposal of the goal of"carbon peak,car-bon neutral",improving the utilization rate of renewable energy and ensuring the flexible use of energy system are the inevit-able requirements for the development requirements of the cur-rent electricity market.Compared with the traditional energy supply mode,the integrated energy system considers the co-ordinated development of multi-energy coupling.In the pro-cess of power marketization,the change in users'energy con-sumption patterns leads to an unclear regularity of load fluctu-ation,while the increase of influencing factors further complic-ates load prediction.In this paper,the correlation between the mulit-energy coupling characteristics and influence factors is analyzed,the K-means cluster analysis of the main factors is conducted,the representative typical day is selected as the pre-diction sample,the LSTM model is used to predict the power load,considering the interaction between multiple energy sources.Finally,a comprehensive energy park was taken as the study case.Compare with the accuracy of the prediction data before and after this method,and caculate the proportion of each error to prove the feasibility of the method,which provides a theoretical basis for the power load prediction of multi-energy coupling.关键词
综合能源/K-means聚类/LSTM模型/负荷预测Key words
integrated energy/K-means clustering/LSTM model/load forecasting分类
动力与电气工程引用本文复制引用
葛亚明,仇晨光,谢丽荣,李艺丰,李刚,赵玉林..基于K-means聚类与LSTM模型的多能源耦合电力负荷预测[J].现代电力,2025,42(2):369-376,8.
