Quantifying Self-consumption and Flexibility Provision through Battery Storage, a Deep Reinforcement Learning Approach.
Yakubu TsadoOlamide JogunolaRaheel NawazGuan GuiBamidele AdebisiPublished in: ICFNDS (2021)
Keyphrases
- reinforcement learning
- function approximation
- storage requirements
- data storage
- electric vehicles
- machine learning
- state space
- markov decision processes
- reinforcement learning algorithms
- storage and retrieval
- robotic control
- model free
- file system
- optimal policy
- learning algorithm
- processing capabilities
- data sets
- storage management
- low cost
- dynamic programming
- learning process
- random access
- multi agent reinforcement learning
- real time