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A real-time operational carbon emission prediction method for the early design stage of residential units based on a convolutional neural network: A case study in Beijing, China

Author(s): ORCID
ORCID
ORCID

Medium: journal article
Language(s): English
Published in: Journal of Building Engineering, , v. 75
Page(s): 106994
DOI: 10.1016/j.jobe.2023.106994
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.jobe.2023.106994.
  • About this
    data sheet
  • Reference-ID
    10731037
  • Published on:
    13/06/2023
  • Last updated on:
    13/06/2023
 
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