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

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Bibliografski detalji
Izdano u:	Buildings vol. 15, no. 22 (2025), p. 4030-4054
Glavni autor:	Faeze, Hodavand
Daljnji autori:	Issa, Ramaji, Sadeghi Naimeh, Sarmad, Zandi Goharrizi
Izdano:	MDPI AG
Teme:	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
Online pristup:	Citation/Abstract Full Text + Graphics Full Text - PDF
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