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Advancing personal thermal comfort prediction: A data-driven framework integrating environmental and occupant dynamics using machine learning

Author(s): ORCID

ORCID
Medium: journal article
Language(s): English
Published in: Building and Environment, , v. 262
Page(s): 111799
DOI: 10.1016/j.buildenv.2024.111799
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: 10.1016/j.buildenv.2024.111799.
  • About this
    data sheet
  • Reference-ID
    10796729
  • Published on:
    01/09/2024
  • Last updated on:
    01/09/2024
 
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