LEVERAGING ARTIFICIAL NEURAL NETWORKS FOR OPTIMIZING ENERGY CONSUMPTION IN COMMERCIAL BUILDINGS
REGISTRO DOI: 10.69849/revistaft/ar10201801011045 Leonardo da Silva Abstract Optimizing energy consumption in commercial buildings is becoming increasingly essential due to escalating energy costs and the demand for sustainable practices. Artificial Neural Networks (ANNs) have emerged as a powerful tool to address these challenges by offering real-time, intelligent solutions that adapt to usage patterns and environmental conditions. …