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Investigating adaptive sampling strategies for optimal building energy performance using artificial neural networks and kriging surrogate models

Author(s):
ORCID

Medium: journal article
Language(s): English
Published in: Journal of Building Engineering, , v. 82
Page(s): 108341
DOI: 10.1016/j.jobe.2023.108341
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.2023.108341.
  • About this
    data sheet
  • Reference-ID
    10756766
  • Published on:
    14/01/2024
  • Last updated on:
    14/01/2024
 
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