The Impact of AI on Enhancing Energy Efficiency in Smart Buildings

Abstract

The rapid urbanization of recent decades has placed immense pressure on city infrastructure, with buildings representing a substantial share of energy use and greenhouse gas emissions. Advanced technologies offer innovative solutions to these challenges by enabling dynamic and real-time optimization of energy consumption, operational efficiency, and occupant well-being. This rsearch examines various strategies, applications, and obstacles associated with incorporating modern technologies into smart building systems. Key applications include energy efficiency improvements, renewable energy integration, occupant behavior monitoring, and enhanced security measures. The role of tools such as predictive analytics and digital modeling is highlighted. The paper also addresses challenges such as data management, security risks, scalability issues, and infrastructure expenses, proposing strategies like improved training mechanisms, integrated system designs, and sustainable development practices. Future recommendations stress the importance of supportive government policies, financial incentives, and robust frameworks in achieving sustainable urban growth. This review highlights the transformative potential of modern technologies in shaping smart buildings to support a more sustainable and resilient urban environment.