Preprint
Sep 2026
Data-Assimilation-Assisted Reinforcement Learning for Power Grid Control under Load Uncertainty
Reliable power grid control requires sequential decisions under transmission constraints, time-varying demand, renewable variability, and imperfect load information. We investigate how load information quality affects control in a customized transmission network simulator inspired by Grid2Op and based on a DC power flo...
Ruo-Yu Hu, Feng Bao, Ze-Zhong Zhang et al.
· 0 citations