AI-Driven Digital Twin Architecture for Building Energy Prediction
In the global effort toward achieving carbon neutrality, the building sector stands as one of the largest contributors to energy consumption and emissions. Enhancing the energy efficiency of buildings, particularly during their operational phase, has therefore become a central focus of modern architecture and sustainability research. The integration of Artificial Intelligence (AI) and Digital Twin technologies presents a promising path forward, enabling data-driven insights, real-time control, and predictive energy management. This research investigates the role of AI-driven Digital Twins in optimizing building performance, aligning technological innovation with sustainable design principles. Research Motivation and Objectives Buildings account for a significant portion of global energy demand, and inefficiencies in operation often stem from the lack of real-time monitoring and predictive control systems. Traditional energy management approaches fall short in dynamically adapt...