Spatiotemporal upscaling errors of building stock clustering for energy demand simulation

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1-s2.0-S0378778822000159-main.pdf(4.52 MB)
Authors
Author (Corporation)
Publication date
03.2022
Type of student thesis
Course of study
Collections
Institute of Sustainability and Energy in Construction
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Type
01A - Journal article
Editors
Editor (Corporation)
Supervisor
Parent work
Energy and Buildings
Special issue
DOI of the original publication
https://doi.org/10.1016/j.enbuild.2022.111844
URI
https://irf.fhnw.ch/handle/11654/55340
https://doi.org/10.26041/fhnw-15188
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Series
Series number
Volume
258
Issue / Number
Pages / Duration
111844
Patent number
Publisher / Publishing institution
Elsevier
Place of publication / Event location
Edition
Version
Programming language
Assignee
Practice partner / Client
Keywords
Subject (DDC)
624 - Ingenieurbau und Umwelttechnik
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ISBN
ISSN
0378-7788
1872-6178
Language
English
Created during FHNW affiliation
No
Strategic action fields FHNW
Publication status
Published
Review
peer-reviewed
Open access category
Hybrid
License
'https://creativecommons.org/licenses/by/4.0/'
Citation
Eggimann, S., Vulic, N., Rüdisüli, M., Mutschler, R., Orehounig, K., & Sulzer, M. (2022). Spatiotemporal upscaling errors of building stock clustering for energy demand simulation. Energy and Buildings, 258, 111844. https://doi.org/10.1016/j.enbuild.2022.111844
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