Multi-Residential Energy Scheduling Under Time-of-Use and Demand Charge Tariffs With Federated Reinforcement Learning.
Jae-Hoon LeeJi-Yoon ParkHoon-Seong SimHyun-Suk LeePublished in: IEEE Trans. Smart Grid (2023)
Keyphrases
- reinforcement learning
- energy consumption
- energy saving
- renewable energy
- electric vehicle charging
- scheduling problem
- solar energy
- model free
- resource requirements
- scheduling algorithm
- energy efficiency
- function approximation
- reinforcement learning algorithms
- round robin
- real time database systems
- capacity allocation
- real estate
- energy supply
- machine learning
- energy efficient
- power consumption
- resource allocation
- digital libraries
- resource constraints
- optimal policy
- state space
- multi agent
- learning algorithm
- electrical energy
- optimal control
- energy minimization
- sensor networks
- dynamic programming
- neural network