AI-Driven Energy Management System for Optimizing HVAC and Lighting Based on Room Occupancy Detection

Energy consumption in buildings is primarily dominated by Heating, Ventilation, and Air Conditioning (HVAC) systems, accounting for more than 50% of total energy use. This paper introduces an AI-enhanced, data-driven energy management system designed to optimize the operation of HVAC and lighting systems by estimating room occupancy through video feeds. The system dynamically adjusts the HV AC and lighting settings based on occupancy levels using deep-learning machine vision. The results show significant potential for energy savings, highlighting the effectiveness of AI-enhanced, data-driven systems in reducing the power consumption of buildings while maintaining user comfort.