Neural models predicting traction power consumption - support of e-energy telematic systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F09%3A00160485" target="_blank" >RIV/68407700:21260/09:00160485 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Neural models predicting traction power consumption - support of e-energy telematic systems
Original language description
This paper deals with determination of relevant input data for models predicting electric traction power consumption. Furthermore, it deals with developing such models, which combine knowledge of classical physics with methods of artificial neural networks. It is possible to design control processes of railway traction effectively, based on these models. Real data of electric power consumption of traction substations in the Czech Republic within one year of train diagram 2006/2007 validity are used forverification of the models. These models can build support for e-energy telematic systems.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/IAA201240701" target="_blank" >IAA201240701: Dynamics of system alliances</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
EATIS'09 CONTRIBUTION PROCEEDINGS
ISBN
978-80-87205-07-5
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Wirelesscom s.r.o.
Place of publication
Praha
Event location
Praha
Event date
Jun 3, 2009
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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