An application of reinforcement learning to residential energy storage under real-time pricing.
Eli BrockLauren BrucksteinPatrick ConnorSabrina NguyenRobert KerestesMai AbdelhakimPublished in: ISGT Asia (2021)
Keyphrases
- real time
- reinforcement learning
- energy consumption
- robotic control
- energy saving
- storage requirements
- real estate
- markov decision processes
- multi agent
- energy minimization
- neural network
- model free
- energy efficiency
- power consumption
- real time systems
- low cost
- wireless sensor networks
- database
- mechanism design
- low energy
- learning algorithm
- storage and retrieval
- energy efficient
- function approximation
- data acquisition
- optimal policy
- high speed
- state space
- machine learning