An application of reinforcement learning to residential energy storage under real-time pricing.
Eli BrockLauren BrucksteinPatrick ConnorSabrina NguyenRobert KerestesMai AbdelhakimPublished in: CoRR (2021)
Keyphrases
- real time
- reinforcement learning
- energy consumption
- robotic control
- energy saving
- low cost
- energy minimization
- state space
- energy efficient
- function approximation
- real time systems
- model free
- data acquisition
- optimal control
- energy efficiency
- vision system
- action selection
- real estate
- quality of service
- storage requirements
- storage and retrieval
- mobile robot
- mechanism design
- dynamic programming
- learning algorithm