Advancing Fault Detection in Building Automation Systems through Deep Learning

This study proposes a deep learning model utilizing the BACnet (Building Automation and Control Network) protocol for the real-time detection of mechanical faults and security vulnerabilities in building automation systems. Integrating various machine learning algorithms and outlier detection techni...

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Bibliographic Details
Main Authors: Woo-Hyun Choi, Jung-Ho Lewe
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/14/1/271