HEMS IN FUTURE CITIES: LINKING ACADEMY AND INDUSTRY THROUGH AI

Contemporary residential buildings integrate complex energy technologies but often suffer from suboptimal efficiency. Bridging the gap between academic innovation and market readiness, this paper introduces OPTIM-ON—an AI-driven Home Energy Management System (HEMS) developed through a Triple Helix collaborative framework to maximize self-consumption and minimize operational costs. Utilizing a decentralized Edge AI architecture, the system coordinates PV, batteries, heat pumps, and EV chargers locally. This solution addresses industry demands for seamless retrofit deployment and commercial viability, while simultaneously alignment with public policy goals regarding data privacy, grid independence, and carbon reduction without requiring structural changes.