Stochastic Dispatch of Energy Storage in Microgrids: A Reinforcement Learning Approach Incorporated with MCTS.
Yuwei ShangWenchuan WuJianbo GuoZhe LvZhao MaWanxing ShengRan ChenPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- direct policy search
- learning automata
- monte carlo tree search
- monte carlo
- stochastic approximation
- function approximation
- optimal policy
- temporal difference
- data storage
- energy minimization
- control policies
- model free
- energy consumption
- learning algorithm
- state space
- state dependent
- minimum energy
- markov decision processes
- storage requirements
- storage and retrieval
- machine learning
- reinforcement learning algorithms
- file system
- reinforcement learning methods
- low energy
- supervised learning
- robotic control
- multi agent
- storage systems
- control problems
- learning process
- continuous state spaces
- stochastic model
- energy saving
- learning problems