Scalable multi-agent reinforcement learning for distributed control of residential energy flexibility

Engineering

• Distributed Control 100%
• Energy Flexibility 100%
• Reinforcement Learning 100%
• Electric Power Distribution 50%
• Observables 50%
• Coordinator 50%
• Learning Approach 50%
• Observability 50%
• Space Heating 50%
• Prosumer 50%
• Electric Vehicle 50%
• Greenhouse Gas 50%
• Historical Data 50%
• Q-Learning 50%