- Balancing indoor thermal comfort and energy consumption of ACMV systems via sparse swarm algorithms in optimizations. In: Energy and Buildings, v. 149 (August 2017). (2017):
- Thermal comfort prediction using normalized skin temperature in a uniform built environment. In: Energy and Buildings, v. 159 (Januar 2018). (2018):
- Dynamic modeling and validation of a liquid desiccant cooling and dehumidification system. In: Energy and Buildings, v. 163 (März 2018). (2018):
- Random forest based thermal comfort prediction from gender-specific physiological parameters using wearable sensing technology. In: Energy and Buildings, v. 166 (Mai 2018). (2018):
- A model-based air balancing method of a ventilation system. In: Energy and Buildings, v. 174 (September 2018). (2018):
- An adaptive robust model predictive control for indoor climate optimization and uncertainties handling in buildings. In: Building and Environment, v. 163 (Oktober 2019). (2019):
- An air balancing method using support vector machine for a ventilation system. In: Building and Environment, v. 143 (Oktober 2018). (2018):
- Modeling and optimization of different sparse Augmented Firefly Algorithms for ACMV systems under two case studies. In: Building and Environment, v. 125 (November 2017). (2017):
- CFD results calibration from sparse sensor observations with a case study for indoor thermal map. In: Building and Environment, v. 117 (Mai 2017). (2017):