Physics Informed Reinforcement Learning for Power Grid Control using Augmented Random Search.
Kaveri MahapatraXiaoyuan FanXinya LiYunzhi HuangQiuhua HuangPublished in: HICSS (2022)
Keyphrases
- power grid
- random search
- reinforcement learning
- power system
- simulated annealing
- genetic algorithm
- control system
- electric vehicles
- communication networks
- search space
- smart grid
- parameter optimization
- artificial intelligence
- real time
- optimal solution
- search algorithm
- mobile robot
- parameter estimation
- differential evolution
- load forecasting
- learning algorithm