计算机与数字工程2025，Vol.53Issue(4)：1020-1024,1043,6.DOI:10.3969/j.issn.1672-9722.2025.04.018
基于优化VMD-mRMR的短期负荷预测
Short Term Load Forecasting Based on Optimized VMD-mRMR
王树东 1陈勇 1唐伟强 1陈汪生1
作者信息
- 1. 兰州理工大学电气工程与信息工程学院 兰州 730050
- 折叠
摘要
Abstract
To address the issue of low prediction accuracy caused by the lack of consideration for the correlation and eigenval-ues of time-series data in traditional load forecasting,this paper proposes a combination model based on optimized variational mode decomposition,maximum correlation minimum redundancy,and gate recurrent unit.Firstly,genetic algorithm is used to optimize the key parameters of variational modal decomposition,decomposing the original load sequence into components of different frequen-cies.Secondly,the optimal feature set for each component is selected using the maximum correlation minimum redundancy method.Finally,the key parameters of the gate recurrent unit are optimized using the monkey algorithm,and each component is predicted separately.The predicted values of each component are superimposed to obtain the final predicted value.By using the data from Aus-tralia for prediction and comparing it with other methods,the results show that this method has higher prediction accuracy.关键词
变分模态分解/最大相关最小冗余/猴群算法/门控循环单元/负荷预测Key words
variational modal decomposition/maximum correlation and minimum redundancy/monkey algorithm/gate re-current unit/load forecasting分类
信息技术与安全科学引用本文复制引用
王树东,陈勇,唐伟强,陈汪生..基于优化VMD-mRMR的短期负荷预测[J].计算机与数字工程,2025,53(4):1020-1024,1043,6.
