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Optimization and prediction of energy consumption, light and thermal comfort in teaching building atriums using NSGA-II and machine learning

Author(s):



Medium: journal article
Language(s): English
Published in: Journal of Building Engineering, , v. 86
Page(s): 108687
DOI: 10.1016/j.jobe.2024.108687
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.2024.108687.
  • About this
    data sheet
  • Reference-ID
    10768158
  • Published on:
    24/04/2024
  • Last updated on:
    24/04/2024
 
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