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Improving the Computational Efficiency of the Unit Commitment Problem in Hydrothermal Systems by Using Multi-Agent Deep Reinforcement Learning.
Philip Guerra
Esteban Gil
Victor H. Hinojosa
Published in:
IEEE Access (2024)
Keyphrases
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computational efficiency
reinforcement learning
multi agent
unit commitment
computationally efficient
cooperative
multi agent systems
computational complexity
complex systems
case study
optimal solution
evolutionary algorithm
simulated annealing
intelligent agents
electric power