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

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Bibliografiska uppgifter
I publikationen:	Buildings vol. 15, no. 22 (2025), p. 4030-4054
Huvudupphov:	Faeze, Hodavand
Övriga upphov:	Issa, Ramaji, Sadeghi Naimeh, Sarmad, Zandi Goharrizi
Utgiven:	MDPI AG
Ämnen:	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
Länkar:	Citation/Abstract Full Text + Graphics Full Text - PDF
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