Special issue "AI and Data Science-enabled Applications for Intelligent Building Energy Management"

Our Lab members Prof. Capozzoli Alfonso and Dr. Piscitelli Marco Savino together with Dr. Fan Cheng, from Shenzhen University, are the guest editors of the Special issue "AI and Data Science-enabled Applications for Intelligent Building Energy Management" on the Elsevier journal Energy and AI.

Special Issue Information

The special issue will collect research articles on theoretical methodologies and practical applications of data-driven solutions for intelligent building energy management. Please note that all submissions should be strongly related to the application of AI and data science.

Topics of interest include, but are not limited to:

• Unsupervised data analytics for building system anomaly detection
• Cross-sectional and temporal data-driven approaches for fault detection and diagnosis
• Non-intrusive approaches for indoor occupancy estimation and utilization
• Real implementation of advanced energy management and information systems
• Predictive and adaptive based control optimization for building systems
• Integration between data-driven and engineering modeling solutions for building energy management
• Applications of BIM or digital twins for building operation management
• Advanced methodologies for analyzing unstructured information in building operations

More info is available here