Data-Assimilation-Assisted Reinforcement Learning for Power Grid Control under Load Uncertainty
ScientificML
Investigates how load information quality affects power grid control using a DC power flow model and Grid2Op-inspired simulator, exploring data assimilation combined with reinforcement learning strategies.
New See LICENSE file power grid controlreinforcement learningdata assimilation