Zhipeng Deng 
- (2024): Assessing multi-domain impact of IAQ and noise on productivity with portable air cleaners through physiological signals. In: Building and Environment, v. 254 (April 2024).
- (2023): State-of-the-art, challenges and new perspectives of thermal comfort demand law for on-demand intelligent control of heating, ventilation, and air conditioning systems. In: Energy and Buildings, v. 295 (September 2023).
- (2023): Transmission and infection risk of COVID-19 when people coughing in an elevator. In: Building and Environment, v. 238 (June 2023).
- (2021): Reinforcement learning of occupant behavior model for cross-building transfer learning to various HVAC control systems. In: Energy and Buildings, v. 238 (May 2021).
- (2018): Artificial neural network models using thermal sensations and occupants’ behavior for predicting thermal comfort. In: Energy and Buildings, v. 174 (September 2018).
- (2020): Development and validation of a smart HVAC control system for multi-occupant offices by using occupants’ physiological signals from wristband. In: Energy and Buildings, v. 214 (May 2020).
- (2019): Simulating the impact of occupant behavior on energy use of HVAC systems by implementing a behavioral artificial neural network model. In: Energy and Buildings, v. 198 (September 2019).
- (2020): Improving indoor air quality and thermal comfort in residential kitchens with a new ventilation system. In: Building and Environment, v. 180 (August 2020).
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