电力需求侧管理2025，Vol.27Issue(6)：99-105,7.DOI:10.3969/j.issn.1009-1831.2025.06.015
基于多尺度权重适配和双向门控循环单元的工业企业短期电力负荷预测方法
Short-term power load forecasting method for industry based on multi scale weight adaptation and bidirectional gated recurrent unit
摘要
Abstract
Historical electricity load data of industrial enterprises has the characteristics of strong volatility and complex sequence,which brings challenges for accurately predicting electricity load.In order to solve these problems,a short-term load forecasting method for indus-try based on multi scale weight adaptation and bidirectional gated recurrent unit(MSWA BiGRU)is proposed.The proposed model is composed by a weight adaptation layer,a BiGRU layer,a feature embedding layer,and a fully connected prediction layer.Firstly,the weight adaptation layer adaptively generates the dependent thermal coefficients for different time scale load data,and then the BiGRU lay-er simultaneously learnes the transient fluctuation characteristics and steady-state periodic characteristics of the historical load series on multiple scales.Then,other features is embedded in the feature embedding layer.Finally,the temporal features are fused with other fea-tures to obtain the final load prediction result through the fully connected prediction layer.Experimental results on real data of electricity load in industrial and commercial enterprises show that the prediction performance of the proposed method is superior to other methods,thus the effectiveness and feasibility of this method are verified.关键词
短期负荷预测/多尺度特征/权重适配/双向门控循环单元/特征嵌入/工业企业Key words
short term load forecasting/multi scale features/weight adaptation/bidirectional gated recurrent unit/feature embedding/in-dustry enterprises分类
管理科学引用本文复制引用
江山,李卫,汤子琪..基于多尺度权重适配和双向门控循环单元的工业企业短期电力负荷预测方法[J].电力需求侧管理,2025,27(6):99-105,7.基金项目
上海市促进产业高质量发展专项(人工智能专题)(2021-GZL-RGZN-01005) （人工智能专题）
