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A physics-guided multi-task framework for joint forecasting of heating load and return temperatures at building-side district heating substations

delete2026-08-05
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PRE
AI
Z
Zhiyi Zhang
张丽 (Li Zhang)
J
Jing Jin *
DOI:10.1016/j.buildenv.2026.115090delete
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Abstract

Abstract

En 中文
• A physics-guided multi-task framework for district heating substations. • A physics-aware channel attention mechanism for dynamic feature reweighting. • A physics-constrained loss function promoting physically plausible predictions. • Heating-load RMSE reduced by 7.0–14.4% and return-temperature MAE kept below 0.6 ∘C .

Journal

Building and Environment cover
Building and Environment
IF:
7.6
Papers:
1.3W
Citations:
6.6W

Organization

H
huadian electric power research institute co., ltd.
Scholars:
23
Papers: 11
Citations: 0
I
inner mongolia university of science and technology
Scholars:
1.5K
Papers: 409
Citations: 0
U
university of shanghai for science and technology
Scholars:
5.1K
Papers: 2.1K
Citations: 4
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