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Comparison of models for predicting winter individual thermal comfort based on machine learning algorithms

Author(s): ORCID




ORCID

Medium: journal article
Language(s): English
Published in: Building and Environment, , v. 215
Page(s): 108970
DOI: 10.1016/j.buildenv.2022.108970
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.2022.108970.
  • About this
    data sheet
  • Reference-ID
    10661638
  • Published on:
    23/03/2022
  • Last updated on:
    23/03/2022
 
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