煤气与热力2026，Vol.46Issue(9)：43-46,4.
基于LiBi-Transformer模型的城市燃气日负荷预测
Urban Gas Daily Load Forecasting Based on LiBi-Transformer Model
郝学军 1许佳雯1
作者信息
- 1. 北京建筑大学 环境与能源工程学院,北京 102616
- 折叠
摘要
Abstract
A daily gas load forecasting model for the heating season based on the LiBi-Transformer algo-rithm is proposed.The input feature parameters of the model include daily maximum temperature,daily mini-mum temperature,daily average temperature,wind scale,weather type,day-of-week type and holiday type,while the output parameter is the daily gas consump-tion.Compared with BP,LSTM,GRU and Transformer models,the LiBi-Transformer model achieves better prediction performance.The results demonstrate that the LiBi-Transformer model possesses higher accuracy and can be applied to forecast urban daily gas load dur-ing the heating season.关键词
燃气日负荷预测/注意力机制/LiBi-Transformer模型Key words
daily gas load forecasting/attention mecha-nism/LiBi-Transformer model分类
建筑与水利引用本文复制引用
郝学军,许佳雯..基于LiBi-Transformer模型的城市燃气日负荷预测[J].煤气与热力,2026,46(9):43-46,4.
