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

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Bibliographische Detailangaben
Veröffentlicht in:	Buildings vol. 15, no. 22 (2025), p. 4030-4054
1. Verfasser:	Faeze, Hodavand
Weitere Verfasser:	Issa, Ramaji, Sadeghi Naimeh, Sarmad, Zandi Goharrizi
Veröffentlicht:	MDPI AG
Schlagworte:	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
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