Reinforcement Learning consisting of Two Agents to Control Refrigeration System with Power Consumption Reduction.
Yuki KajizukaKazuhiro MotegiYoichi ShiraishiTakumi MachidaPublished in: SICE (2023)
Keyphrases
- power consumption
- reinforcement learning
- low power
- multi agent
- action selection
- power reduction
- power saving
- energy efficiency
- power management
- multi agent systems
- energy saving
- battery life
- energy management
- water level
- intelligent agents
- control strategy
- control system
- battery powered
- data center
- learning agent
- cmos technology