Aug 2026
Development of a Hybrid CNN-BILSTM Model with Attention Mechanism for Predicting Thermal Load in District Heating Systems
A novel hybrid heat load prediction model for district heating systems (DHS), integrating convolutional neural networks (CNN), attention mechanisms (ATT), and bidirectional long short-term memory (BiLSTM) networks is proposed, aiming to enhance forecasting accuracy and reliability.
Xu-Yang Cui, Yun-Zhe Zhang, Jun-Lan Yang et al.
· Thermal Engineering · 0 citations