Deep Reinforcement Learning in Power Distribution Systems: Overview, Challenges, and Opportunities.
Yuanqi GaoNanpeng YuPublished in: ISGT (2021)
Keyphrases
- reinforcement learning
- power distribution systems
- lessons learned
- future trends
- open issues
- reinforcement learning algorithms
- optimal control
- function approximation
- optimal policy
- markov decision processes
- multi agent systems
- multi agent
- key issues
- emerging technologies
- visual analytics
- real world
- neural network
- state space
- supervised learning
- real time
- design principles
- genetic algorithm
- information retrieval
- machine learning
- data mining