- Performance analysis of transparent BIPV/T double skin façades integrated with the decision-making algorithm for mixed-mode building ventilation. In: Architectural Engineering and Design Management, v. 20, n. 5 (August 2024). (2024):
- Cross-building prediction of natural ventilation rate with small datasets based on a hybrid ensembled transfer learning. In: Building and Environment, v. 242 (August 2023). (2023):
- Vision-based personal thermal comfort prediction based on half-body thermal distribution. In: Building and Environment, v. 228 (Januar 2023). (2023):
- Multi-criteria decision making for adaptive façade optimal design in varied climates: Energy, daylight, occupants’ comfort, and outdoor view analysis. In: Building and Environment, v. 223 (September 2022). (2022):
- Stacking deep transfer learning for short-term cross building energy prediction with different seasonality and occupant schedule. In: Building and Environment, v. 218 (Juni 2022). (2022):
- Prediction of individual thermal comfort based on ensemble transfer learning method using wearable and environmental sensors. In: Building and Environment, v. 207 (Januar 2022). (2022):
- Comparative analysis on predictability of natural ventilation rate based on machine learning algorithms. In: Building and Environment, v. 195 (Mai 2021). (2021):
- Effects of combined central air conditioning diffusers and window-integrated ventilation system on indoor air quality and thermal comfort in an office. In: Sustainable Cities and Society, v. 61 (Oktober 2020). (2020):