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Forecasting building operation dynamics using a Physics-Informed Spatio-Temporal Graph Neural Network (PISTGNN) ensemble

Author(s): ORCID

Medium: journal article
Language(s): English
Published in: Energy and Buildings, , v. 328
Page(s): 115085
DOI: 10.1016/j.enbuild.2024.115085
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.2024.115085.
  • About this
    data sheet
  • Reference-ID
    10811060
  • Published on:
    07/01/2025
  • Last updated on:
    07/01/2025
 
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