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Geographic Information System-assisted optimal design of renewable powered electric vehicle charging stations in high-density cities
Huang, Pei
Dalarna University, School of Technology and Business Studies, Energy Technology. City University of Hong Kong.
Ma, Z.
Xiao, L.
Sun, Y.
2019 (English)
In:
Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 255, article id 113855
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2019. Vol. 255, article id 113855
National Category
Energy Engineering
Research subject
Research Profiles 2009-2020, Energy and Built Environments
Identifiers
URN:
urn:nbn:se:du-30819
DOI:
10.1016/j.apenergy.2019.113855
ISI:
000497978100093
Scopus ID:
2-s2.0-85072244758
OAI: oai:DiVA.org:du-30819
DiVA, id:
diva2:1355344
Available from:
2019-09-27
Created:
2019-09-27
Last updated:
2021-11-12
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apa
ieee
modern-language-association-8th-edition
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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
More styles
Language
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
Other locale
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
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Other locale
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html
text
asciidoc
rtf
html
text
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