Zahra Qavidel Fard
- (2023): Development of a Machine Learning Framework Based on Occupant-Related Parameters to Predict Residential Electricity Consumption in the Hot and Humid Climate. In: Energy and Buildings, v. 301 (December 2023).
- (2022): Application of machine learning in thermal comfort studies: A review of methods, performance and challenges. In: Energy and Buildings, v. 256 (February 2022).
Structurae cooperates with
