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A physics-informed deep learning-based urban building thermal comfort modeling and prediction framework for identifying thermally vulnerable building stock

Author(s): ORCID
ORCID
Medium: journal article
Language(s): English
Published in: Smart and Sustainable Built Environment
DOI: 10.1108/sasbe-02-2024-0047
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: 10.1108/sasbe-02-2024-0047.
  • About this
    data sheet
  • Reference-ID
    10798109
  • Published on:
    01/09/2024
  • Last updated on:
    01/09/2024
 
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