A Reinforcement Learning Approach to Parameter Selection for Distributed Optimization in Power Systems.
Sihan ZengAlyssa KodyYoungdae KimKibaek KimDaniel K. MolzahnPublished in: CoRR (2021)
Keyphrases
- parameter selection
- power system
- reinforcement learning
- distribution systems
- power grid
- adaptive regularization
- multi agent
- optimization algorithm
- smart grid
- computational intelligence
- power generation
- model selection
- machine learning
- economic dispatch
- transmission line
- load forecasting
- optimization method
- power system stabilizer
- electric power systems
- optimal policy
- genetic algorithm
- neural network