Restoring Distribution System Under Renewable Uncertainty Using Reinforcement Learning.
Xiangyu ZhangAbinet Tesfaye EseyeBernard KnuevenWesley JonesPublished in: SmartGridComm (2020)
Keyphrases
- reinforcement learning
- partial observability
- function approximation
- dynamic programming
- graphical models
- belief functions
- uncertain data
- random variables
- temporal difference learning
- input pattern
- possibility theory
- temporal difference
- data sets
- optimal policy
- supervised learning
- multi agent
- decision making
- learning algorithm