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Enhancing multi-scenario data-driven energy consumption prediction in campus buildings by selecting appropriate inputs and improving algorithms with attention mechanisms

Author(s):
ORCID
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Medium: journal article
Language(s): English
Published in: Energy and Buildings, , v. 311
Page(s): 114133
DOI: 10.1016/j.enbuild.2024.114133
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.enbuild.2024.114133.
  • About this
    data sheet
  • Reference-ID
    10774358
  • Published on:
    26/04/2024
  • Last updated on:
    26/04/2024
 
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