Using unsupervised learning to partition 3D city scenes for distributed building energy microsimulation

Zakhary, S., Rosser, J., Siebers, P.-O. et al. (2 more authors) (2020) Using unsupervised learning to partition 3D city scenes for distributed building energy microsimulation. Environment and Planning B: Urban Analytics and City Science. ISSN 2399-8083

Abstract

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Copyright, Publisher and Additional Information: © The Author(s) 2020. This is an author-produced version of a paper subsequently published in Environment and Planning B: Urban Analytics and City Science. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Hierarchical clustering; greedy community detection; urban scene; partitioning; scalability; building energy; microsimulation
Dates:
  • Published (online): 7 May 2020
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: 27 May 2020 13:51
Last Modified: 27 May 2020 14:44
Status: Published online
Publisher: SAGE Publications
Refereed: Yes
Identification Number: https://doi.org/10.1177/2399808320914313

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