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Machine learning and artificial intelligence for digital twin to accelerate sustainability in positive energy districts
Shen, Jingchun
Dalarna University, School of Information and Engineering, Construction.
ORCID iD:
0000-0003-0239-9214
Zhang, Xingxing
Dalarna University, School of Information and Engineering, Energy Technology.
ORCID iD:
0000-0002-2369-0169
Saini, Puneet
Dalarna University, School of Information and Engineering, Energy Technology.
2021 (English)
In:
Data-driven Analytics for Sustainable Buildings and Cities: From Theory to Application / [ed] Xingxing Zhang, Singarpore: Springer, 2021
Chapter in book (Refereed)
Place, publisher, year, edition, pages
Singarpore: Springer, 2021.
National Category
Energy Systems Building Technologies
Identifiers
URN:
urn:nbn:se:du-37237
DOI:
10.1007/978-981-16-2778-1
ISBN:
978-981-16-2778-1 (electronic)
ISBN:
978-981-16-2777-4 (print)
OAI: oai:DiVA.org:du-37237
DiVA, id:
diva2:1559583
Available from:
2021-06-02
Created:
2021-06-02
Last updated:
2023-04-14
Bibliographically approved
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Shen, Jingchun
Zhang, Xingxing
Saini, Puneet
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ieee
modern-language-association-8th-edition
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chicago-author-date
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apa
ieee
modern-language-association-8th-edition
vancouver
chicago-author-date
chicago-note-bibliography
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en-GB
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