Cooling systems

Energy management

Advanced Machine Learning Approaches for Cooling Load Prediction in Residential Buildings

Researchers at Concordia University in Montreal, Quebec, Canada, have made significant progress in developing a novel approach for predicting cooling loads in residential buildings using advanced machine learning techniques. The study, published in the Journal of Engineering, exploited the potential of ensemble methods combined with optimization-driven parameter tuning to improve