AI & Environment Resource HubMeng et al. · 2025-04-23
Multi-stage cascading failures in power grids can be mitigated by framing the problem as a reinforcement-learning control task, where an agent trained with deterministic policy gradients learns continuous corrective actions in a simulated environment and proves effective on the IEEE 14-bus and 118-bus test systems.
Meng et al.. 2025-04-23. Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation. https://s3.us-east-1.amazonaws.com/climate-change-ai/papers/iclr2025/1/paper.pdf (AI & Environment Resource Hub; record paper-246; collection snapshot 2026-09-15).
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