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Abid, Peker Team with TSYS School Students to Develop Smart Building Fault Detection System

A new study by TSYS School faculty Mohamed Riduan Abid and Yesem Peker develops a real-world smart building energy fault detection system on a cloud-based workspace. Developed within one calendar year, the system currently provides fault detection in the form of predictions and anomaly detection for 96 buildings on an active military installation, all which is capable of converging within 14 minutes on average. The study, which appears in the current issue of Computers, was coauthored with TSYS School students Kaleb Horvath, Thomas Merino, and Ryan Zimmerman, along with Shamim Khan, who recently retired from the TSYS School. The paper outlines their system's general architecture and how it differs from previous smart building diagnostics initiatives. It also provides the necessary configuration steps required to maintain and develop a big data analytics application in the cloud like that discussed in the study.
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