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Digital Twin-Enabled Framework for Intelligent Monitoring and Anomaly Detection in Multi-Zone Building Systems

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Pubblicato in:Buildings vol. 15, no. 22 (2025), p. 4030-4054
Autore principale: Faeze, Hodavand
Altri autori: Issa, Ramaji, Sadeghi Naimeh, Sarmad, Zandi Goharrizi
Pubblicazione:
MDPI AG
Soggetti:
Accuracy
Comparative analysis
Data processing
Datasets
Deep learning
Buildings
Energy efficiency
Optimization
Monitoring
Machine learning
Fault detection
Energy consumption
Robustness
Internet of Things
Artificial intelligence
Digital twins
Sensors
Support vector machines
HVAC
Algorithms
Complexity
Anomalies
Building management systems
Real time
Building information modeling
Forecasting
Cultural heritage
Predictive maintenance
Accesso online:Citation/Abstract
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