Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning.
Daniel J. B. HarroldJun CaoZhong FanPublished in: CoRR (2021)
Keyphrases
- renewable energy
- reinforcement learning
- multi agent
- solar energy
- wind energy
- electric vehicle charging
- fossil fuels
- wind power
- power consumption
- electricity markets
- power supply
- multi agent systems
- markov decision processes
- machine learning
- dynamic programming
- cooperative
- artificial intelligence
- learning algorithm
- energy consumption
- intelligent agents
- optimal policy
- state space
- short term
- electronic commerce
- optimal solution
- neural network