A bi-level data-driven framework for fault-detection and diagnosis of HVAC systems-Reference-Cited by-同舟云学术

A bi-level data-driven framework for fault-detection and diagnosis of HVAC systems

Published:2023-06 Issue: Volume:339 Page:120948
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Movahed Paria,Taheri Saman^ORCID,Razban Ali

Funder

U.S. Department of Energy

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference54 articles.

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3. Morteza Azita, Sadipour Masod, Fard Reza Saadati, Taheri Saman, Ahmadi Amirhossein. A dagging-based deep learning framework for transmission line flexibility assessment. IET Renew Power Gener n/a(n/a). URL.

4. Historical decarbonization of global commercial building operations in the 21st century;Xiang;Appl Energy,2022

5. Carbon reduction in commercial building operations: A provincial retrospection in China;Li;Appl Energy,2022

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