Deep-Reinforcement-Learning-Based Capacity Scheduling for PV-Battery Storage System.
Bin HuangJianhui WangPublished in: IEEE Trans. Smart Grid (2021)
Keyphrases
- reinforcement learning
- scheduling algorithm
- capacity allocation
- scheduling problem
- function approximation
- state space
- markov decision processes
- reinforcement learning algorithms
- dynamic scheduling
- resource requirements
- resource allocation
- deep learning
- optimal policy
- model free
- temporal difference
- dynamic programming
- information systems
- electric vehicles
- learning algorithm
- round robin
- storage systems
- limited capacity
- supervised learning
- capacity expansion
- energy management
- flow control
- machine learning
- packet scheduling
- function approximators
- action selection
- parallel machines
- resource constraints
- main memory
- learning problems
- learning process
- multi agent