Return
Physics-data dual-driven temperature prediction for district heating systems
DOI:10.1016/j.applthermaleng.2025.129222.png)
Abstract
En 中文
• A physics-data dual-driven for district heating system temperature prediction. • A thermally-aware re-attention LSTM dual-layer for ahead temperature prediction. • A bidirectional encoder to enhance long-term temporal dependency capability. • Model verification achieves high accuracy and robustness.
Journal
IF:
6.9
Papers:
2.7W
Citations:
10.6W

