This study explores the application of a machine learning model called Multi-Layer Perceptron Regression (MLPR) for building cooling demand prediction. Through a hybridization technique with two cutting-edge optimization algorithms. the Brown Bear Optimization Algorithm (BBOA) and the Non-Monopolize Search Algorithm (NMSA). it sets out to explore its optimization potential. https://vesaers.shop/product-category/collections/