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Physics-data dual-driven temperature prediction for district heating systems

delete2025-11-22
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PRE
AI
王南 (Nan Wang)
Z
Zhi Li
L
Linfeng Xi
Y
Yuan Xu *
T
Teng Li
W
Wenchen Liu
DOI:10.1016/j.applthermaleng.2025.129222delete
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Abstract

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

Applied Thermal Engineering cover
Applied Thermal Engineering
IF:
6.9
Papers:
2.7W
Citations:
10.6W

Organization

U
University of Jinan
Scholars:
1.6W
Papers: 1.1W
Citations: 1.4W
T
S
shandong university
Scholars:
9.3W
Papers: 6.4W
Citations: 94
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