Deep Reinforcement Learning for Community Battery Scheduling under Uncertainties of Load, PV Generation, and Energy Prices.
Jiarong FanHao WangPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- energy management
- battery powered
- scheduling algorithm
- load balancing
- function approximation
- scheduling problem
- energy consumption
- energy efficiency
- optimal policy
- scheduling policies
- round robin
- markov decision processes
- energy minimization
- total energy
- energy supply
- reinforcement learning algorithms
- temporal difference
- energy saving
- long run
- energy efficient
- power consumption
- model free
- parallel machines
- learning algorithm
- dynamic pricing
- state space
- response time
- wireless sensor networks
- multi agent