Rule-based prediction of short term electric load
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F14%3A00044971" target="_blank" >RIV/61384399:31140/14:00044971 - isvavai.cz</a>
Result on the web
<a href="http://eujournal.org/files/journals/1/books/AIIC2014.Vol.3.pdf" target="_blank" >http://eujournal.org/files/journals/1/books/AIIC2014.Vol.3.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Rule-based prediction of short term electric load
Original language description
Main topics of the document: data mining; rule learning; electric load prediction
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2nd Annual International Interdisciplinary Conference, AIIC 2014
ISBN
978-608-4642-26-8
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
325-329
Publisher name
University of the Azores
Place of publication
Ponta Delgada
Event location
Ponta Delgada
Event date
Jul 8, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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