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Optimal Simulation of Three Peer to Peer (P2P) Business Models for Individual PV Prosumers in a Local Electricity Market Using Agent-Based Modelling
Lovati, Marco
Dalarna University, School of Technology and Business Studies, Energy Technology.
Zhang, Xingxing
Dalarna University, School of Technology and Business Studies, Energy Technology.
ORCID iD:
0000-0002-2369-0169
Huang, Pei
Dalarna University, School of Technology and Business Studies, Energy Technology.
Olsmats, Carl
Dalarna University, School of Technology and Business Studies, Industrial Engineering and Management.
ORCID iD:
0000-0002-1087-9886
Maturi, Laura
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2020 (English)
In:
Buildings, E-ISSN 2075-5309, Vol. 10, no 8, article id 138
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2020. Vol. 10, no 8, article id 138
National Category
Energy Engineering
Research subject
Research Profiles 2009-2020, Energy and Built Environments
Identifiers
URN:
urn:nbn:se:du-34615
DOI:
10.3390/buildings10080138
ISI:
000564692900001
Scopus ID:
2-s2.0-85089523398
OAI: oai:DiVA.org:du-34615
DiVA, id:
diva2:1455816
Available from:
2020-07-29
Created:
2020-07-29
Last updated:
2025-10-09
Bibliographically approved
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302 downloads
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Lovati, Marco
Zhang, Xingxing
Huang, Pei
Olsmats, Carl
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Zhang, Xingxing
Huang, Pei
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Direct link
http://du.diva-portal.org/smash/record.jsf?pid=diva2:1455816
Cite
Citation style
apa
ieee
modern-language-association-8th-edition
vancouver
chicago-author-date
chicago-note-bibliography
Other style
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
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en-GB
en-US
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Other locale
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text
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