Multi-agent Reinforcement Learning Embedded Game for the Optimization of Building Energy Control and Power System Planning.
Jun HaoPublished in: CoRR (2019)
Keyphrases
- power system
- multi agent reinforcement learning
- electrical power
- power flow
- economic dispatch
- power generation
- power system stabilizer
- reactive power
- stochastic games
- active power
- distributed control
- computational intelligence
- voltage stability
- particle swarm optimization
- operating point
- optimal control
- control system
- multi agent learning
- ieee bus
- transmission line
- control method
- nash equilibrium
- combinatorial optimization
- game theory
- neural network
- action selection
- fuzzy systems
- differential evolution
- autonomous agents
- multi agent systems