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Surrogate optimization of energy retrofits in domestic building stocks using household carbon valuations

Author(s): (Computer Science, University of Nottingham, Nottingham, UK)
ORCID (Computer Science, University of Nottingham, Nottingham, UK)
(Computer Science, University of Nottingham, Nottingham, UK)
(Land Quality Management Ltd, Nottingham, UK)
(School of Architecture, The University of Sheffield, Sheffield, UK)
Medium: journal article
Language(s): English
Published in: Journal of Building Performance Simulation, , n. 1, v. 16
Page(s): 1-22
DOI: 10.1080/19401493.2022.2106309
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: 10.1080/19401493.2022.2106309.
  • About this
    data sheet
  • Reference-ID
    10693448
  • Published on:
    23/09/2022
  • Last updated on:
    20/02/2023
 
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