. "outage power unit model; Hidden Markov Models"@en . "1-5" . "RIV/49777513:23520/06:00000106" . "80-7318-409-5" . "V\u00FDpadkov\u00FD virtu\u00E1ln\u00ED model 200 MW blok\u016F v \u010CEPS"@cs . "Univerzita Tom\u00E1\u0161e Bati ve Zl\u00EDn\u011B" . "2"^^ . "Tento \u010Dl\u00E1nek p\u0159edstavuje netradi\u010Dn\u00ED p\u0159\u00EDstup k predikci v\u00FDpadk\u016F 200 MW blok\u016F v p\u0159enosov\u00E9 soustav\u011B. Tento p\u0159\u00EDstup je zalo\u017Een na skryt\u00FDch Markovsk\u00FDch modelech (HMM). Parametry tohoto modelu jsou estimov\u00E1ny z historick\u00FDch dat. P\u0159\u00EDnosem tohoto p\u0159\u00EDstupu je mo\u017Enost modelovat dobu setrv\u00E1n\u00ED v pozorovan\u00E9m stavu (v provozu, ve v\u00FDpadku…) pomoc\u00ED obecn\u00E9ho rozd\u011Blen\u00ED pravd\u011Bpodobnosti."@cs . "The Virtual Outage Model of 200 MW Power Units Connected to \u010CEPS"@en . . . "Mo\u0161na, Ji\u0159\u00ED" . "RIV/49777513:23520/06:00000106!RIV07-MSM-23520___" . . "2006-01-01+01:00"^^ . "Control of power and heating systems 2006" . . "Tento \u010Dl\u00E1nek p\u0159edstavuje netradi\u010Dn\u00ED p\u0159\u00EDstup k predikci v\u00FDpadk\u016F 200 MW blok\u016F v p\u0159enosov\u00E9 soustav\u011B. Tento p\u0159\u00EDstup je zalo\u017Een na skryt\u00FDch Markovsk\u00FDch modelech (HMM). Parametry tohoto modelu jsou estimov\u00E1ny z historick\u00FDch dat. P\u0159\u00EDnosem tohoto p\u0159\u00EDstupu je mo\u017Enost modelovat dobu setrv\u00E1n\u00ED v pozorovan\u00E9m stavu (v provozu, ve v\u00FDpadku…) pomoc\u00ED obecn\u00E9ho rozd\u011Blen\u00ED pravd\u011Bpodobnosti." . . "2"^^ . . . . "Jane\u010Dek, Petr" . "5"^^ . "V\u00FDpadkov\u00FD virtu\u00E1ln\u00ED model 200 MW blok\u016F v \u010CEPS"@cs . "V\u00FDpadkov\u00FD virtu\u00E1ln\u00ED model 200 MW blok\u016F v \u010CEPS" . . "The Virtual Outage Model of 200 MW Power Units Connected to \u010CEPS"@en . . "Zl\u00EDn" . "Zl\u00EDn" . "An outage power unit model is used for outage predicting and outage simulating. The creating of the models is described in several papers. These models are usually based on Markov Models with exponential or Erlang distribution function time of stay in the state. But the historical data of 200MW and 210MW power unit outages show that it is necessary to create a model with universal distribution function. That was the reason for create the discrete Markov Model that approximate distribution function in a whole multiple of the discrete model period. The state of the model is described with the observed level and the number of period in this level. The advantage of this way is the possibility to set number of the approximated points of the distribution function by choosing the period length. In the paper is present the outage model of the virtual 200MW power unit based on Hidden Markov Models. The model can be used as both a outage predictor and a outage simulator."@en . . "V\u00FDpadkov\u00FD virtu\u00E1ln\u00ED model 200 MW blok\u016F v \u010CEPS" . "[C243FEF20F86]" . . "P(1M0567)" . "23520" . . "507444" . . .