中国电力2026，Vol.59Issue(5)：1-8,8.DOI:10.11930/j.issn.1004-9649.202506072
一种基于Patch机制与通道独立结构的改进Transformer日前电价预测方法
An improved Transformer day-ahead electricity price forecasting model based on Patch mechanism and channel-independent structure
摘要
Abstract
To address the common problems of insufficient temporal feature extraction and poor adaptability to special day scenarios in day-ahead electricity spot market price forecasting,this paper proposes an improved forecasting model based on the Transformer architecture.The Patch mechanism is introduced to enhance local temporal feature extraction,and the channel-independent structure is combined to improve the learning efficiency of multivariate features.In addition,the multi-head attention mechanism is adopted to capture the global price fluctuation patterns.The proposed method is verified based on the historical data of the Guangdong electricity spot market.Compared with the baseline Transformer model,the mean absolute error(MAE)of the proposed model is decreased from 32.95 to 23.88 in weekend scenarios,and from 78.33 to 70.33 in holiday scenarios.The model exhibits significantly better adaptability to the phenomenon of quantity-price deviation than the baseline model,and can accurately capture the upward trend of price floors when the bidding space exceeds 60 000 MW.The proposed model achieves a significant improvement in prediction accuracy under different scenarios(especially special scenarios)and has good adaptability to quantity-price deviations.关键词
电力现货市场/日前电价预测/通道独立结构/多头注意力机制Key words
electricity spot market/day-ahead price forecasting/channel-independent structure/multi-head attention mechanism引用本文复制引用
陈梓宏,黄宁馨,赖智航,赖晓文,陈潇婷,陈硕楠,高锋..一种基于Patch机制与通道独立结构的改进Transformer日前电价预测方法[J].中国电力,2026,59(5):1-8,8.基金项目
国家自然科学基金资助项目(72401011). This work is supported by National Natural Science Foundation of China(No.72401011). （72401011）
