(Oral Presentation) Multi-Agent Reinforcement Learning-Based Data Center Operation Optimization Considering Power and Climate Conditions

Prof. SungKu Heo presented research on multi-agent reinforcement learning-based data center operation optimization at the 2026 Annual Conference of the Korean Society of Environmental Engineers (KSEE) at Jeju Shinhwa World, Jeju, Korea. The presentation focused on optimizing data center operation by considering dynamic power and climate conditions through multi-agent reinforcement learning.