- Temporal feature decomposition fusion network for building energy multi-step prediction. Dans: Journal of Building Engineering, v. 94 (octobre 2024). (2024):
- Crack _ PSTU: Crack detection based on the U-Net framework combined with Swin Transformer. Dans: Structures, v. 62 (avril 2024). (2024):
- CorrDQN-FS: A two-stage feature selection method for energy consumption prediction via deep reinforcement learning. Dans: Journal of Building Engineering, v. 80 (décembre 2023). (2023):
- Priori knowledge-based deep reinforcement learning control for fan coil unit system. Dans: Journal of Building Engineering, v. 82 (avril 2024). (2024):
- Efficient model-free control of chiller plants via cluster-based deep reinforcement learning. Dans: Journal of Building Engineering, v. 82 (avril 2024). (2024):
- Visual interpretation of deep deterministic policy gradient models for energy consumption prediction. Dans: Journal of Building Engineering, v. 79 (novembre 2023). (2023):
- ED-DQN: An event-driven deep reinforcement learning control method for multi-zone residential buildings. Dans: Building and Environment, v. 242 (août 2023). (2023):
- Predictive control optimization of chiller plants based on deep reinforcement learning. Dans: Journal of Building Engineering, v. 76 (octobre 2023). (2023):
- Predictive control of power demand peak regulation based on deep reinforcement learning. Dans: Journal of Building Engineering, v. 75 (septembre 2023). (2023):
- (2022): Deep Forest-Based DQN for Cooling Water System Energy Saving Control in HVAC. Dans: Buildings, v. 12, n. 11 (27 octobre 2022).
- A novel building energy consumption prediction method using deep reinforcement learning with consideration of fluctuation points. Dans: Journal of Building Engineering, v. 63 (janvier 2023). (2023):
- Optimal control method of HVAC based on multi-agent deep reinforcement learning. Dans: Energy and Buildings, v. 270 (septembre 2022). (2022):
- Applications of reinforcement learning for building energy efficiency control: A review. Dans: Journal of Building Engineering, v. 50 (juin 2022). (2022):
- (2022): Building Energy Consumption Prediction Using a Deep-Forest-Based DQN Method. Dans: Buildings, v. 12, n. 2 (18 janvier 2022).
- Metabolism-based ventilation monitoring and control method for COVID-19 risk mitigation in gymnasiums and alike places. Dans: Sustainable Cities and Society, v. 80 (mai 2022). (2022):
- (2021): Detection of District Heating Pipe Network Leakage Fault Using UCB Arm Selection Method. Dans: Buildings, v. 11, n. 7 (30 juin 2021).
- Data mining approach for improving the optimal control of HVAC systems: An event-driven strategy. Dans: Journal of Building Engineering, v. 39 (juillet 2021). (2021):