Development of a Holistic Data-Driven Detection and Diagnosis Approach for Operational Faults in Public Buildings

Computer Science

• Public Building 100%
• Fault Diagnosis 100%
• Detection 100%
• Diagnosis 100%
• Energy Performance 66%
• Fault Detection 66%
• Classification Method 33%
• Multiclass Classification 33%
• Energy Consumption 33%
• Feature Extraction 33%
• Driven Approach 33%
• Long Short-Term Memory Network 33%
• Considerable Amount 33%
• Level Analysis 33%
• Models 33%
• Detection Process 33%
• Diagnosis Phase 33%
• Multiple System 33%
• Operational Data 33%
• Autoencoder 33%
• Building System 33%
• Simulated Data 33%