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Development of a Bayesian calibration framework for archetype-based housing stock models of summer indoor temperature

Author(s): ORCID (Institute for Environmental Design and Engineering, University College London, London, UK)
ORCID (Institute for Environmental Design and Engineering, University College London, London, UK)
ORCID (Institute for Environmental Design and Engineering, University College London, London, UK)
(Institute for Environmental Design and Engineering, University College London, London, UK)
ORCID (School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough, UK)
(Chartered Institution of Building Services Engineers, London, UK)
ORCID (Institute for Environmental Design and Engineering, University College London, London, UK)
Medium: journal article
Language(s): English
Published in: Journal of Building Performance Simulation
Page(s): 1-20
DOI: 10.1080/19401493.2024.2421330
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: 10.1080/19401493.2024.2421330.
  • About this
    data sheet
  • Reference-ID
    10806013
  • Published on:
    10/11/2024
  • Last updated on:
    10/11/2024
 
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