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

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Detalles Bibliográficos
Publicado en:	Buildings vol. 15, no. 22 (2025), p. 4030-4054
Autor Principal:	Faeze, Hodavand
Outros autores:	Issa, Ramaji, Sadeghi Naimeh, Sarmad, Zandi Goharrizi
Publicado:	MDPI AG
Materias:	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
Acceso en liña:	Citation/Abstract Full Text + Graphics Full Text - PDF
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