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Use of temperature scenariosl medium and long-term probabilistic heat demand forecasting in district heating
Dimoulkas, Ilias
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
ORCID iD:
0000-0003-4490-9278
Amelin, Mikael
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
ORCID iD:
0000-0001-6000-9363
2018 (English)
In:
Euroheat and Power (English Edition), ISSN 1613-0200, Vol. 15, no 4, p. 10-16
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Verlags und Wirtschaftsges. der Elektrizitatswerke , 2018. Vol. 15, no 4, p. 10-16
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN:
urn:nbn:se:kth:diva-247456
Scopus ID:
2-s2.0-85057611747
OAI: oai:DiVA.org:kth-247456
DiVA, id:
diva2:1304923
Note
QC 20190415
Available from:
2019-04-15
Created:
2019-04-15
Last updated:
2022-06-26
Bibliographically approved
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Dimoulkas, Ilias
Amelin, Mikael
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Amelin, Mikael
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apa
ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
Other style
More styles
Language
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
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en-GB
en-US
fi-FI
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