Estimating energy consumption of residential buildings at scale with drive-by image capture

Ward, W.O.C. orcid.org/0000-0002-4904-7294, Li, X., Sun, Y. et al. (4 more authors) (2023) Estimating energy consumption of residential buildings at scale with drive-by image capture. Building and Environment, 234. 110188. ISSN 0360-1323

Abstract

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Keywords: Building energy modelling; Residential buildings; Mobile sensing; Data-driven methods; Retrofit; Artificial Intelligence
Dates:
  • Published: 15 April 2023
  • Published (online): 9 March 2023
  • Accepted: 5 March 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield)
Funding Information:
Funder
Grant number
Department for Business, Energy and Industrial Strategy
EP/V012053/1
Depositing User: Symplectic Sheffield
Date Deposited: 16 Aug 2024 11:35
Last Modified: 16 Aug 2024 11:35
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: 10.1016/j.buildenv.2023.110188
Related URLs:
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 13: Climate Action
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