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Identifying factors influencing energy saving cognition-behavior gaps in shared residential spaces using interpretable machine learning: A dormitory case study

Author(s):


Medium: journal article
Language(s): English
Published in: Journal of Building Engineering, , v. 100
Page(s): 111809
DOI: 10.1016/j.jobe.2025.111809
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.2025.111809.
  • About this
    data sheet
  • Reference-ID
    10817100
  • Published on:
    03/02/2025
  • Last updated on:
    03/02/2025
 
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