Bio-sensing and reinforcement learning approaches for occupant-centric control

Keyphrases

• Thermal Comfort 100%
• Schedule-based 100%
• Reinforcement Learning Approach 100%
• Bio-reinforcement 100%
• Occupancy-based Control 100%
• Biosensing 100%
• Control System 66%
• Reinforcement Learning Agent 66%
• Negotiators 66%
• Energy Consumption 33%
• Indoor Environment 33%
• EnergyPlus 33%
• Energy Efficiency 33%
• Office Building 33%
• Energy Minimization 33%
• Learnability 33%
• Control Strategy 33%
• Building Indoors 33%
• Energy Waste 33%
• Personalized Feedback 33%
• Shared Environment 33%
• Sensing Agent 33%
• Deep Q-learning 33%
• Building Control 33%
• Control Agents 33%
• Biological Response 33%
• HVAC System 33%
• Satisfaction Rate 33%
• Simulation Runs 33%
• Reinforcement Learning Control System 33%
• Reinforcement Learning Algorithm 33%
• Set-point Control 33%
• Occupant Comfort 33%
• Multi-agent Reinforcement Learning 33%
• Thermal Satisfaction 33%

Engineering

• Learning Approach 100%
• Reinforcement Learning 100%
• Biosensing 100%
• Control System 60%
• Thermal Comfort 60%
• Energy Engineering 40%
• Setpoints 20%
• Energy Conservation 20%
• Control Strategy 20%
• Office Buildings 20%
• EnergyPlus 20%
• Q-Learning 20%
• Energy Efficiency 20%
• Learning Control 20%
• Biological Response 20%