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

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Opis bibliograficzny
Wydane w:	Buildings vol. 15, no. 22 (2025), p. 4030-4054
1. autor:	Faeze, Hodavand
Kolejni autorzy:	Issa, Ramaji, Sadeghi Naimeh, Sarmad, Zandi Goharrizi
Wydane:	MDPI AG
Hasła przedmiotowe:	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
Dostęp online:	Citation/Abstract Full Text + Graphics Full Text - PDF
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