OPTIMIZATION OF THERMAL COMFORT IN BUILDINGS FOR COMPUTATIONAL FLUID DYNAMICS USING MACHINE LEARNING TECHNIQUES

Computational Fluid Dynamics (CFD), Simulations, Machine Learning Techniques, Thermal Comfort in Buildings, Building Designs. brief summary of the abstract. It highlights the potential of machine learning techniques in optimizing thermal comfort in buildings based on CFD simulations. It also discusses the significance of the findings in improving energy efficiency and occupant well-being in buildings. This abstract presents an overview of the optimization of thermal comfort in buildings using machine learning techniques for CFD simulations. It emphasizes the potential of machine learning in improving the efficiency and accuracy of thermal comfort optimization, contributing to sustainable and comfortable building designs