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Machine learning surrogate of physics-based building-stock simulator for end-use load forecasting

Author(s): ORCID


ORCID
ORCID
Medium: journal article
Language(s): English
Published in: Energy and Buildings, , v. 296
Page(s): 113395
DOI: 10.1016/j.enbuild.2023.113395
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.2023.113395.
  • About this
    data sheet
  • Reference-ID
    10737827
  • Published on:
    03/09/2023
  • Last updated on:
    03/09/2023
 
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