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

Zakhary, Sameh; Rosser, Julian; Siebers, Peer-Olaf; Mao, Yong; Robinson, Darren

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Authors

Sameh Zakhary

Julian Rosser

Darren Robinson



Citation

Zakhary, S., Rosser, J., Siebers, P.-O., Mao, Y., & Robinson, D. (2020). Using unsupervised learning to partition 3D city scenes for distributed building energy microsimulation. Environment and Planning B: Urban Analytics and City Science, 48(5), https://doi.org/10.1177/2399808320914313

Journal Article Type Article
Acceptance Date Feb 25, 2020
Online Publication Date May 7, 2020
Publication Date May 7, 2020
Deposit Date Oct 1, 2022
Publicly Available Date Oct 3, 2022
Journal Environment and Planning B: Urban Analytics and City Science
Electronic ISSN 2399-8091
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
Volume 48
Issue 5
DOI https://doi.org/10.1177/2399808320914313
Public URL https://nottingham-repository.worktribe.com/output/4395649
Publisher URL https://journals.sagepub.com/doi/10.1177/2399808320914313
Additional Information Accepted for publication in Environment and Planning B: Urban Analytics and City Science.

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