Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning.
Alexander J. M. KellA. Stephen McGoughMatthew ForshawPublished in: Big Data (2022)
Keyphrases
- reinforcement learning
- function approximation
- state space
- united states
- markov decision processes
- reinforcement learning algorithms
- model free
- multi agent
- robotic control
- dynamic programming
- temporal difference learning
- electric vehicles
- neural network
- deep learning
- autonomous learning
- multi agent reinforcement learning
- power supply
- real time
- solar energy
- optimal policy
- learning process
- machine learning
- partially observable
- temporal difference
- small scale
- learning problems
- case study
- transition model
- data sets