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  • The data on power faults have been collected in Czech republic for several years now, but the common framework which allowed to combine them into one large dataset was completed recently. The next step is to analyze this data and present the underlying knowledge in such a way, that can be easily understood. In this paper, we will describe The SOM method, based on Kohonen self-organizing neural network, which was already successfully used in many areas and is known to capture underlying concepts
  • The data on power faults have been collected in Czech republic for several years now, but the common framework which allowed to combine them into one large dataset was completed recently. The next step is to analyze this data and present the underlying knowledge in such a way, that can be easily understood. In this paper, we will describe The SOM method, based on Kohonen self-organizing neural network, which was already successfully used in many areas and is known to capture underlying concepts (en)
  • Data o výpadcích v elektrické síti jsou shomažďovány v České republice již několik let ale obecný framework, který by umožňoval uložit je do jedné velké kolekce, byl dokončen teprve nedávno. Dalším krokem je analýza těchto dat a jejich přehledná prezentace. V tomto článku popisujeme použití SOM metody založené na Kohonenových mapách, která byla úspěšně aplikována v mnoha oblastech. Tato metoda dokáže zachytit skryté vazby v datech zachycující poruchy v elektrické síti. (cs)
Title
  • Power Outage Data Analysis via SOM Neural Networks
  • Power Outage Data Analysis via SOM Neural Networks (en)
  • Analýza dat výpadků v elektrické síti s použitím SOM metody (cs)
skos:prefLabel
  • Power Outage Data Analysis via SOM Neural Networks
  • Power Outage Data Analysis via SOM Neural Networks (en)
  • Analýza dat výpadků v elektrické síti s použitím SOM metody (cs)
skos:notation
  • RIV/61989100:27240/08:00018859!RIV09-AV0-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET100300414)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 388278
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/08:00018859
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • outage data analysis; SOM (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C818814782CA]
http://linked.open...v/mistoKonaniAkce
  • VŠB - TU Ostrava
http://linked.open...i/riv/mistoVydani
  • Ostrava
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  • ELNET 2008
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Snášel, Václav
  • Bača, Radim
  • Krátký, Michal
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoká škola báňská - Technická univerzita Ostrava
https://schema.org/isbn
  • 978-80-248-1875-7
http://localhost/t...ganizacniJednotka
  • 27240
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