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

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Publié dans:	Buildings vol. 15, no. 22 (2025), p. 4030-4054
Auteur principal:	Faeze, Hodavand
Autres auteurs:	Issa, Ramaji, Sadeghi Naimeh, Sarmad, Zandi Goharrizi
Publié:	MDPI AG
Sujets:	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
Accès en ligne:	Citation/Abstract Full Text + Graphics Full Text - PDF
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