Qiming Fu 
- (2024): An interactive clustering method via metric learning for analyzing energy consumption patterns. In: Journal of Building Engineering, v. 98 (December 2024).
- (2025): FS-DDPG: Optimal Control of a Fan Coil Unit System Based on Safe Reinforcement Learning. In: Buildings, v. 15, n. 2 (15 January 2025).
- (2024): Predictive control optimization of household energy storage devices for load regulation and energy conservation. In: Journal of Building Engineering, v. 98 (December 2024).
- (2024): Temporal feature decomposition fusion network for building energy multi-step prediction. In: Journal of Building Engineering, v. 94 (October 2024).
- (2024): Crack _ PSTU: Crack detection based on the U-Net framework combined with Swin Transformer. In: Structures, v. 62 (April 2024).
- (2023): CorrDQN-FS: A two-stage feature selection method for energy consumption prediction via deep reinforcement learning. In: Journal of Building Engineering, v. 80 (December 2023).
- (2024): Priori knowledge-based deep reinforcement learning control for fan coil unit system. In: Journal of Building Engineering, v. 82 (April 2024).
- (2024): Efficient model-free control of chiller plants via cluster-based deep reinforcement learning. In: Journal of Building Engineering, v. 82 (April 2024).
- (2023): Visual interpretation of deep deterministic policy gradient models for energy consumption prediction. In: Journal of Building Engineering, v. 79 (November 2023).
- (2023): ED-DQN: An event-driven deep reinforcement learning control method for multi-zone residential buildings. In: Building and Environment, v. 242 (August 2023).
- (2023): Predictive control optimization of chiller plants based on deep reinforcement learning. In: Journal of Building Engineering, v. 76 (October 2023).
- (2023): Predictive control of power demand peak regulation based on deep reinforcement learning. In: Journal of Building Engineering, v. 75 (September 2023).
- (2022): Deep Forest-Based DQN for Cooling Water System Energy Saving Control in HVAC. In: Buildings, v. 12, n. 11 (27 October 2022).
- (2023): A novel building energy consumption prediction method using deep reinforcement learning with consideration of fluctuation points. In: Journal of Building Engineering, v. 63 (January 2023).
- (2022): Optimal control method of HVAC based on multi-agent deep reinforcement learning. In: Energy and Buildings, v. 270 (September 2022).
- (2022): Applications of reinforcement learning for building energy efficiency control: A review. In: Journal of Building Engineering, v. 50 (June 2022).
- (2022): Building Energy Consumption Prediction Using a Deep-Forest-Based DQN Method. In: Buildings, v. 12, n. 2 (18 January 2022).
- (2022): Metabolism-based ventilation monitoring and control method for COVID-19 risk mitigation in gymnasiums and alike places. In: Sustainable Cities and Society, v. 80 (May 2022).
- (2021): Detection of District Heating Pipe Network Leakage Fault Using UCB Arm Selection Method. In: Buildings, v. 11, n. 7 (30 June 2021).
- (2021): Data mining approach for improving the optimal control of HVAC systems: An event-driven strategy. In: Journal of Building Engineering, v. 39 (July 2021).
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