🌿 Research Topics on Machine Learning for Energy-Efficient and Healthy Educational Environments
Ensuring both energy efficiency and indoor air quality (IAQ) in educational buildings has become a vital concern in sustainable design. As schools and universities grow increasingly tech-integrated, maintaining a balance between energy consumption and healthy indoor environments is challenging. This study explores how Machine Learning (ML) can bridge that gap — providing intelligent HVAC control, data-driven insights, and environmentally conscious solutions that make classrooms greener and healthier. The Challenge of Balancing Energy and Air Quality Traditional energy management systems in educational institutions often prioritize cost-saving over air quality, leading to poor ventilation and occupant discomfort. Conversely, over-ventilation wastes energy and increases operational costs. This research addresses this dual challenge, emphasizing the necessity for integrated ML solutions capable of optimizing both aspects simultaneously through real-time monitoring and adaptive c...