Battery Scheduling in a Residential Multi-Carrier Energy System Using Reinforcement Learning.
Brida V. MbuwirMahtab KaffashGeert DeconinckPublished in: SmartGridComm (2018)
Keyphrases
- reinforcement learning
- energy consumption
- energy management
- energy saving
- battery powered
- power consumption
- energy efficiency
- scheduling problem
- resource allocation
- machine learning
- function approximation
- scheduling algorithm
- energy efficient
- real estate
- wireless sensor networks
- reinforcement learning algorithms
- low energy
- energy supply
- energy minimization
- learning algorithm
- markov decision processes
- low cost
- round robin
- flexible manufacturing systems
- state space
- minimum energy
- dynamic scheduling
- transition model
- multi agent
- robotic control
- optimal policy
- supervised learning
- expert systems