Sameh Zakhary
Using unsupervised learning to partition 3D city scenes for distributed building energy microsimulation
Zakhary, Sameh; Rosser, Julian; Siebers, Peer-Olaf; Mao, Yong; Robinson, Darren
Authors
Julian Rosser
Dr PEER-OLAF SIEBERS peer-olaf.siebers@nottingham.ac.uk
Assistant Professor
YONG MAO yong.mao@nottingham.ac.uk
Associate Professor
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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