Evaluation of data imputation approaches for multi-stream building systems data <sup>1</sup>-Reference-Cited by-同舟云学术

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Evaluation of data imputation approaches for multi-stream building systems data ¹

Published:2024-05-23 Issue:8 Volume:30 Page:1035-1048
ISSN:2374-4731
Container-title:Science and Technology for the Built Environment
language:en
Short-container-title:Science and Technology for the Built Environment

Author:

Pradhan Ojas¹^ORCID,Wen Jin¹^ORCID,Hälleberg David²,Chen Zhelun¹^ORCID,Varman Noresh¹^ORCID,Huang Jiajing³^ORCID,Wu Teresa³^ORCID,Candan K. Selçuk³^ORCID,O’Neill Zheng⁴^ORCID

Affiliation:

1. Department of Civil, Architectural & Environmental Engineering, Drexel University, Philadelphia, PA, USA

2. Department of Civil and Architectural Engineering, KTH Royal Institute of Technology, Stockholm, Sweden

3. School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA

4. J. Mike Walker ’66 Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA

Funder

National Science Foundation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23744731.2024.2351311

Reference45 articles.

1. Missing Data Techniques for Structural Equation Modeling.

2. Using Weather and Schedule Based Pattern Matching and Feature Based Principal Component Analysis for Whole Building Fault Detection—Part II Field Evaluation

3. Using Weather and Schedule-Based Pattern Matching and Feature-Based Principal Component Analysis for Whole Building Fault Detection—Part I Development of the Method

4. A review of data-driven fault detection and diagnostics for building HVAC systems

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