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Development of an adaptation table to enhance the accuracy of the predicted mean vote model
Li, Y
Rezgui, Y
Guerriero, A
Zhang, Xingxing
Dalarna University, School of Technology and Business Studies, Energy Technology.
ORCID iD:
0000-0002-2369-0169
Han, Mengjie
Dalarna University, School of Technology and Business Studies, Microdata Analysis.
ORCID iD:
0000-0003-4212-8582
Kubicki, S
Yan, D
Show others and affiliations
2020 (English)
In:
Building and Environment, ISSN 0360-1323, E-ISSN 1873-684X, Vol. 168, article id 106504
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2020. Vol. 168, article id 106504
National Category
Building Technologies
Research subject
Research Profiles 2009-2020, Energy and Built Environments
Identifiers
URN:
urn:nbn:se:du-31070
DOI:
10.1016/j.buildenv.2019.106504
ISI:
000532284400014
Scopus ID:
2-s2.0-85074601389
OAI: oai:DiVA.org:du-31070
DiVA, id:
diva2:1367152
Available from:
2019-11-01
Created:
2019-11-01
Last updated:
2021-11-12
Bibliographically approved
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Zhang, Xingxing
Han, Mengjie
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Energy Technology
Microdata Analysis
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Building and Environment
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apa
ieee
modern-language-association-8th-edition
vancouver
chicago-author-date
chicago-note-bibliography
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apa
ieee
modern-language-association-8th-edition
vancouver
chicago-author-date
chicago-note-bibliography
Other style
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de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
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en-GB
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