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  • In the paper we present a model of a power distribution network based on a combination of the stochastic and deterministic approach. The simulation system is implemented using multi-agent platform eXAT and it is based on local knowledge transfer and interaction between agents. By recording the events occurring in the network and post-hoc analysis, we are able to explore the relations between local failures and their global economic effects in the distribution network.
  • In the paper we present a model of a power distribution network based on a combination of the stochastic and deterministic approach. The simulation system is implemented using multi-agent platform eXAT and it is based on local knowledge transfer and interaction between agents. By recording the events occurring in the network and post-hoc analysis, we are able to explore the relations between local failures and their global economic effects in the distribution network. (en)
Title
  • Smart Power Network Reliability Modelling Using Intelligent Agents
  • Smart Power Network Reliability Modelling Using Intelligent Agents (en)
skos:prefLabel
  • Smart Power Network Reliability Modelling Using Intelligent Agents
  • Smart Power Network Reliability Modelling Using Intelligent Agents (en)
skos:notation
  • RIV/00216224:14330/12:00057229!RIV13-GA0-14330___
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  • P(GA102/09/1842)
http://linked.open...vai/riv/dodaniDat
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  • 168579
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  • RIV/00216224:14330/12:00057229
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  • power distribution network simulation; multi-agent systems; economic aspects of power network reliability (en)
http://linked.open.../riv/klicoveSlovo
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  • [A614DF06BB47]
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  • Hauppauge, NY, USA
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  • New York, USA
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  • Emerging Technologies for a Smarter World (CEWIT 2011)
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  • Horák, Aleš
  • Sikora, Tadeusz
  • Prýmek, Miroslav
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http://linked.open.../riv/zahajeniAkce
number of pages
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  • 10.1109/CEWIT.2011.6135860
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  • IEEE Xplore
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  • 9781457715921
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  • 14330
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