Hong Kong University of Science & Technology (HKUST)
Occupant state estimation, Deep reinforcement learning, indoor air quality, thermal comfort, energy efficiency, HVAC control
surrogate model, XGBoost, Building performance evaluation, Flat layout, Generative design
thermal comfort, Indoor air quality, Energy consumption, Hybrid prediction model, HVAC System
Building Information Modeling (BIM), openBIM, carbon management, Discrete Event Simulation (DES)
Indoor air quality, CO2-based ventilation control, Energy saving, Long-term prediction, Deep learning
