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

Hey, J., Siebers, P-O., Nathanail, P. et al. (2 more authors) (2022) Surrogate optimization of energy retrofits in domestic building stocks using household carbon valuations. Journal of Building Performance Simulation. ISSN 1940-1507

Abstract

Metadata

Authors/Creators:
  • Hey, J.
  • Siebers, P-O.
  • Nathanail, P.
  • Ozcan, E.
  • Robinson, D.
Copyright, Publisher and Additional Information: © 2022 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Energy performance retrofits; building stock analysis; surrogate modelling; machine learning; optimization
Dates:
  • Accepted: 18 July 2022
  • Published (online): 2 September 2022
  • Published: 2 September 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Architecture (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 02 Nov 2022 16:05
Last Modified: 02 Nov 2022 16:05
Status: Published online
Publisher: Taylor and Francis Group
Refereed: Yes
Identification Number: https://doi.org/10.1080/19401493.2022.2106309
Related URLs:

Export

Statistics