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

Author(s): ORCID (Department of Civil, Architectural & Environmental Engineering, Drexel University, Philadelphia, PA, USA)
ORCID (Department of Civil, Architectural & Environmental Engineering, Drexel University, Philadelphia, PA, USA)
(Department of Civil and Architectural Engineering, KTH Royal Institute of Technology, Stockholm, Sweden)
ORCID (Department of Civil, Architectural & Environmental Engineering, Drexel University, Philadelphia, PA, USA)
ORCID (Department of Civil, Architectural & Environmental Engineering, Drexel University, Philadelphia, PA, USA)
ORCID (School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA)
ORCID (School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA)
ORCID (School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA)
ORCID (J. Mike Walker ’66 Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA)
Medium: journal article
Language(s): English
Published in: Science and Technology for the Built Environment, , n. 8, v. 30
Page(s): 1-14
DOI: 10.1080/23744731.2024.2351311
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1080/23744731.2024.2351311.
  • About this
    data sheet
  • Reference-ID
    10789090
  • Published on:
    20/06/2024
  • Last updated on:
    31/08/2024
 
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