Mining building energy management system data using fuzzy anomaly detection and linguistic descriptions

Keyphrases

• Anomaly Detection 100%
• System Data 100%
• Building Energy Management System 100%
• Linguistic Description 100%
• System Behavior 36%
• Method Description 27%
• State Awareness 18%
• Extraction Methods 9%
• K-nearest Neighbor (K-NN) 9%
• Large Amount of Data 9%
• Energy Minimization 9%
• Anomalous Behavior 9%
• Modern Building 9%
• Occupant Comfort 9%
• Indoor Environment 9%
• World-building 9%
• Suboptimal Behavior 9%
• Building Behavior 9%
• Linguistic Representation 9%
• Rule Extraction 9%
• Building Performance 9%
• Normal Building 9%
• Fuzzy Logic Rules 9%

Computer Science

• Anomaly Detection 100%
• Data Management System 100%
• System Behavior 80%
• Fuzzy Mathematics 20%
• Energy Consumption 20%
• Clustering Algorithm 20%
• Anomalous Behavior 20%
• Understandability 20%
• Performance Criterion 20%
• Rule Extraction 20%

Engineering

• Anomaly Detection 100%
• Energy Management System 100%
• System Behavior 36%
• Clustering Algorithm 9%
• Nearest Neighbor 9%
• Main Part 9%
• Performance Criterion 9%
• Minimizing Energy 9%
• Fuzzy logic rules 9%