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Found 3 papers, 1 papers with code
Reinforcement Learning and Tree Search Methods for the Unit Commitment Problem
When generator outages are considered, guided tree search saves over 2\% in operating costs as compared with methods using conventional $N-x$ reserve criteria.
Reinforcement Learning and Mixed-Integer Programming for Power Plant Scheduling in Low Carbon Systems: Comparison and Hybridisation
We find that deterministic and stochastic MIP consistently produce lower-cost UC schedules than RL, exhibiting better reliability and scalability with problem size.
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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