(Oral Presentation) Development of an Energy-Responsive Smart Autonomous Ventilation System Based on Reinforcement Learning

Prof. SungKu Heo was invited to present “Development of an Energy-Responsive Smart Autonomous Ventilation System Based on Reinforcement Learning” at the Korean Society for Indoor Environment in Busan, Korea. The conference was held under the theme “AI and Green Tech: Sustainable Smart Indoor Environment.” The presentation focused on the development of a reinforcement learning (RL)-based autonomous ventilation system for achieving energy-efficient and sustainable indoor environments, highlighting the application of AI-driven control strategies for smart ventilation and indoor environmental management.