Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort †

Computer Science

• Computer Architecture 50%
• Consumption Pattern 50%
• Cybersecurity 50%
• Deep Reinforcement Learning 50%
• Edge Computing 100%
• Efficiency Measure 50%
• Energy Consumption 50%
• Energy Efficiency 100%
• Energy Saving 100%
• Federated Learning 50%
• Reinforcement Learning 50%
• Supervised Learning 50%
• Transmission Overhead 50%
• Unsupervised Learning 50%
• Virtual Organization 100%

Engineering

• Adaptability 33%
• Building Management System 66%
• Building Occupant 33%
• Built Environment 33%
• Consumption Pattern 33%
• Cutting Edge 33%
• Edge Computing 100%
• Energy Building 33%
• Energy Conservation 100%
• Energy Efficiency 33%
• Energy Efficiency Measure 33%
• Energy Management System 66%
• Reinforcement Learning 33%
• Transmissions 33%

Keyphrases

• Building Energy Data 50%
• Contemporary Building 50%
• Occupant Comfort 50%
• Occupant Preferences 50%