Practical implementation and evaluation of deep reinforcement learning control for a radiant heating system

Keyphrases

• Radiant Heating System 100%
• Deep Reinforcement Learning (deep RL) 100%
• Practical Implementation 100%
• Deep Reinforcement Learning Control 100%
• Practical Evaluation 100%
• Control Method 40%
• Air Conditioning 40%
• Heating System 40%
• Heating Ventilation 40%
• Reinforcement Learning Agent 40%
• Thermal Preference 40%
• Popular 20%
• Control Logic 20%
• Optimal Control 20%
• Rule-based Control 20%
• Heating Demand 20%
• Energy Efficiency 20%
• Realist Evaluation 20%
• Office Building 20%
• Optimal Control Problem 20%
• Process Dynamics 20%
• Operation Data 20%
• Trained Agent 20%
• App-based 20%
• Building Data 20%
• Physics-based Model 20%
• Real-world Implementation 20%
• Optimal Control Strategy 20%
• Smartphone App 20%
• Participation Rate 20%
• Feedback System 20%
• Building Operation 20%
• Preference Feedback 20%

Engineering

• Heating System 100%
• Reinforcement Learning 100%
• Radiant Heating 100%
• Learning Control 100%
• Air Conditioning System 22%
• Real Life 22%
• Optimal Control 22%
• Limitations 11%
• Energy Conservation 11%
• Simulators 11%
• Control Logic 11%
• Office Buildings 11%
• Rule-Based Control 11%
• Complex Process 11%
• Energy Efficiency 11%
• Process Dynamic 11%
• Optimal Control Problem 11%
• Submitter 11%