Data-driven battery operation for energy arbitrage using rainbow deep reinforcement learning.
Daniel J. B. HarroldJun CaoZhong FanPublished in: CoRR (2021)
Keyphrases
- data driven
- reinforcement learning
- battery powered
- energy management
- electric vehicles
- power consumption
- function approximation
- energy efficiency
- energy minimization
- low cost
- energy consumption
- energy supply
- energy efficient
- multi agent
- wireless sensor networks
- stock price
- sensor nodes
- data sets
- solar energy
- robotic control
- machine learning
- low energy
- reinforcement learning algorithms
- optimal control
- state space
- learning problems
- action selection
- learning process
- minimum energy
- failure modes
- learning algorithm
- supervised learning
- optimal policy
- markov decision processes