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Learning to run a power network with trust
We first advance an agent with the ability to send to the operator alarms ahead of time when the proposed actions are of low confidence.
Learning to run a Power Network Challenge: a Retrospective Analysis
Motivated to investigate the potential of AI methods in enabling adaptability in power network operation, we have designed a L2RPN challenge to encourage the development of reinforcement learning solutions to key problems present in the next-generation power networks.
Reinforcement Learning for Electricity Network Operation
This paper presents the background material required for the Learning to Run Power Networks Challenge.
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