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MITP-Net: A deep-learning framework for short-term indoor temperature predictions in multi-zone buildings

Author(s): ORCID
ORCID
ORCID
Medium: journal article
Language(s): English
Published in: Building and Environment, , v. 239
Page(s): 110388
DOI: 10.1016/j.buildenv.2023.110388
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.2023.110388.
  • About this
    data sheet
  • Reference-ID
    10729179
  • Published on:
    30/05/2023
  • Last updated on:
    12/09/2023
 
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