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Use of temperature scenariosl medium and long-term probabilistic heat demand forecasting in district heating
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems.ORCID iD: 0000-0003-4490-9278
KTH, School of Electrical Engineering and Computer Science (EECS), 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. 10-16Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Verlags und Wirtschaftsges. der Elektrizitatswerke , 2018. Vol. 15, no 4, p. 10-16
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Electrical Engineering, Electronic Engineering, Information Engineering
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URN: urn:nbn:se:kth:diva-247456Scopus ID: 2-s2.0-85057611747OAI: oai:DiVA.org:kth-247456DiVA, id: diva2:1304923
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QC 20190415

Available from: 2019-04-15 Created: 2019-04-15 Last updated: 2019-05-22Bibliographically approved

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Dimoulkas, IliasAmelin, Mikael

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