- State-of-the-art thermal comfort models for car cabin Environment. Dans: Building and Environment, v. 262 (août 2024). (2024):
- Assessing multi-domain impact of IAQ and noise on productivity with portable air cleaners through physiological signals. Dans: Building and Environment, v. 254 (avril 2024). (2024):
- 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. Dans: Energy and Buildings, v. 295 (septembre 2023). (2023):
- Transmission and infection risk of COVID-19 when people coughing in an elevator. Dans: Building and Environment, v. 238 (juin 2023). (2023):
- Reinforcement learning of occupant behavior model for cross-building transfer learning to various HVAC control systems. Dans: Energy and Buildings, v. 238 (mai 2021). (2021):
- Artificial neural network models using thermal sensations and occupants’ behavior for predicting thermal comfort. Dans: Energy and Buildings, v. 174 (septembre 2018). (2018):
- Development and validation of a smart HVAC control system for multi-occupant offices by using occupants’ physiological signals from wristband. Dans: Energy and Buildings, v. 214 (mai 2020). (2020):
- Simulating the impact of occupant behavior on energy use of HVAC systems by implementing a behavioral artificial neural network model. Dans: Energy and Buildings, v. 198 (septembre 2019). (2019):
- Improving indoor air quality and thermal comfort in residential kitchens with a new ventilation system. Dans: Building and Environment, v. 180 (août 2020). (2020):