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

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Detalhes bibliográficos
Publicado no:	Buildings vol. 15, no. 22 (2025), p. 4030-4054
Autor principal:	Faeze, Hodavand
Outros Autores:	Issa, Ramaji, Sadeghi Naimeh, Sarmad, Zandi Goharrizi
Publicado em:	MDPI AG
Assuntos:	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
Acesso em linha:	Citation/Abstract Full Text + Graphics Full Text - PDF
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