About: Numerical Models for Wind Power Plant Power Prediction

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The paper deals with prediction of generated power from wind power plants. At the beginning there are mentioned basic purposes of prediction and simulation. Predicting options and their difficulties are discussed together with prediction advance and prediction step requirements. Various ways of wind supply prediction can bring different results. Difficulty and expected effect on prediction accuracy is estimated as well. In second part there are made basic simulation models, which are subsequently optimized. There were used Autoregressive model, Moving Average model and statistical Markov switching process. Programmed models are tested on real data from 2 MW Vestas wind turbine. Achieved results are analysed by sta-tistical methods and consequently evaluated. The paper deals with prediction of generated power from wind power plants. At the beginning there are mentioned basic purposes of prediction and simulation. Predicting options and their difficulties are discussed together with prediction advance and prediction step requirements. Various ways of wind supply prediction can bring different results. Difficulty and expected effect on prediction accuracy is estimated as well. In second part there are made basic simulation models, which are subsequently optimized. There were used Autoregressive model, Moving Average model and statistical Markov switching process. Programmed models are tested on real data from 2 MW Vestas wind turbine. Achieved results are analysed by sta-tistical methods and consequently evaluated. (en)
Title	Numerical Models for Wind Power Plant Power Prediction Numerical Models for Wind Power Plant Power Prediction (en)
skos:prefLabel	Numerical Models for Wind Power Plant Power Prediction Numerical Models for Wind Power Plant Power Prediction (en)
skos:notation	RIV/00216305:26220/13:PU103857!RIV14-MSM-26220___
http://linked.open...avai/predkladatel	Fakulta elektrotechniky a komunikačních technologií
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Bartošík, Tomáš Mastný, Petr Radil, Lukáš
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	92571
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/13:PU103857
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	wind power prediction, wind power plants simulation, numerical prediction methods, Autoregressive model, Markov chain, Moving average model (en)
http://linked.open.../riv/klicoveSlovo	Autoregressive model Moving average model numerical prediction methods wind power plants simulation wind power prediction Markov chain
http://linked.open...ontrolniKodProRIV	[21ADD003003A]
http://linked.open...v/mistoKonaniAkce	Kouty nad Desnou
http://linked.open...i/riv/mistoVydani	Ostrava
http://linked.open...i/riv/nazevZdroje	Proceedings of the 14th International Scientific Conference Electric Power Engineering 2013
http://linked.open...in/vavai/riv/obor	JE
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Bartošík, Tomáš Mastný, Petr Radil, Lukáš
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2013-05-28 (xsd:date)
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	VSB – Technical University of Ostrava
https://schema.org/isbn	978-80-248-2988-3
http://localhost/t...ganizacniJednotka	26220

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