Feb 15, 2023 · The aim of this paper is to bring this promising technology closer to the real world of power grid operation. We deploy RL-based agents in two ...
Feb 15, 2023 · The aim of this paper is to bring this promising technology closer to the real world of power grid operation. We deploy RL-based agents in two ...
Matthias Dorfer's 3 research works with 13 citations, including: Reinforcement Learning Based Power Grid Day-Ahead Planning and AI-Assisted Control.
Reinforcement Learning Based Power Grid Day-Ahead Planning and AI-Assisted Control ... The ongoing transition to renewable energy is increasing the share of ...
Duration: 51:37
Posted: Mar 8, 2024
Posted: Mar 8, 2024
Missing: Reinforcement Day- Planning
Mar 25, 2024 · Leveraging state-of-the-art methods of optimization and reinforcement learning for power grid management through a deep understanding of ...
reinforcement learningoptimal controlartificial intelligence ... Reinforcement Learning Based Power Grid Day-Ahead Planning and AI-Assisted Control.
AI Control System for Power Grid Based on Distributed Energy Resources ... Reinforcement Learning Based Power Grid Day-Ahead Planning and AI-Assisted Control.
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Reinforcement Learning Based Power Grid Day-Ahead Planning and AI-Assisted Control · Power Grid Congestion Management via Topology Optimization with AlphaZero.
In this paper, reinforcement learning (RL), an artificial intelligence-based approach, is proposed to optimize the energy management system (EMS) of an energy ...