Jing Dai

Vulnerability-aware reinforcement learning scheduling of AI data centers under typhoon-induced thermal coupling

The rapid growth of AI data-center loads, amplified by typhoon-induced thermal coupling between workloads and cooling systems, poses new challenges to transmission grid vulnerability assessment and scheduling. This paper develops a vulnerability-aware reinforcement-learning (RL) scheduling framework that integrates a m...