Computationally Efficient Safe Reinforcement Learning for Power Systems.
Daniel TabasBaosen ZhangPublished in: ACC (2022)
Keyphrases
- power system
- computationally efficient
- reinforcement learning
- distribution systems
- power grid
- computational intelligence
- computational complexity
- economic dispatch
- power generation
- load forecasting
- transmission line
- state space
- smart grid
- dynamic programming
- machine learning
- short term load forecasting
- reactive power
- active power
- electrical power
- multi agent
- decision making
- electric power systems
- environmentally friendly
- voltage stability
- optimal policy
- expert systems
- artificial intelligence
- learning algorithm