Novel Architecture of Energy Management Systems Based on Deep Reinforcement Learning in Microgrid.
Seongwoo LeeJoonho SeonYoung Ghyu SunSoo Hyun KimChanuk KyeongDong In KimJin Young KimPublished in: IEEE Trans. Smart Grid (2024)
Keyphrases
- management system
- reinforcement learning
- state space
- real time
- database management systems
- energy consumption
- energy minimization
- neural network
- function approximation
- learning capabilities
- dynamic programming
- markov decision processes
- database
- optimal control
- learning classifier systems
- action selection
- reinforcement learning algorithms
- hardware architecture
- low energy
- multi agent reinforcement learning