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An analyze of long-term hourly district heat demand forecasting of a commercial building using neural networks
Maher, Azaza
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
(EST)
2016 (English)
In:
The 8
th
International Conference on Applied Energy – ICAE2016, 2016
Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
2016.
National Category
Energy Systems
Identifiers
URN:
urn:nbn:se:mdh:diva-34708
OAI: oai:DiVA.org:mdh-34708
DiVA, id:
diva2:1068136
Conference
The 8th International Conference on Applied Energy – ICAE2016
Available from:
2017-01-24
Created:
2017-01-24
Last updated:
2017-01-24
Bibliographically approved
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Maher, Azaza
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apa
ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
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de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
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de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
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text
asciidoc
rtf
html
text
asciidoc
rtf
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