About: Prediction of power output by models based on fuzzy systems

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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 installed power of the renewable energy sources (mostly wind and solar power plants) has in the recent few years increased all over the world. In connection with the amount of installed power of instable power sources all round the world, it becomes necessary to forecast the availability of active power to be supplied by the solar and wind power plants within a given time period because the active power availability is one of the necessary inputs for the preparation of the operation of power networks. Various tasks in this area are hard optimization problems. As such, they can be effectively addressed using soft computing methods. In this paper we present results obtained by artificial intelligence methods applied to short time solar and wind power prediction. The methods based on bio-inspired computation and fuzzy systems were applied in this study. The installed power of the renewable energy sources (mostly wind and solar power plants) has in the recent few years increased all over the world. In connection with the amount of installed power of instable power sources all round the world, it becomes necessary to forecast the availability of active power to be supplied by the solar and wind power plants within a given time period because the active power availability is one of the necessary inputs for the preparation of the operation of power networks. Various tasks in this area are hard optimization problems. As such, they can be effectively addressed using soft computing methods. In this paper we present results obtained by artificial intelligence methods applied to short time solar and wind power prediction. The methods based on bio-inspired computation and fuzzy systems were applied in this study. (en)
Title	Prediction of power output by models based on fuzzy systems Prediction of power output by models based on fuzzy systems (en)
skos:prefLabel	Prediction of power output by models based on fuzzy systems Prediction of power output by models based on fuzzy systems (en)
skos:notation	RIV/61989100:27730/13:86088889!RIV14-GA0-27730___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(ED2.1.00/03.0069), P(GA102/09/1842), S
http://linked.open...iv/cisloPeriodika	3
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Prokop, Lukáš Mišák, Stanislav
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Centrum energetického využití netradičních zdrojů energie
http://linked.open...dnocenehoVysledku	98598
http://linked.open...ai/riv/idVysledku	RIV/61989100:27730/13:86088889
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Soft computing; Renewable energy; Prediction; Fuzzy systems (en)
http://linked.open.../riv/klicoveSlovo	Prediction Soft computing Renewable energy Fuzzy systems
http://linked.open...odStatuVydavatele	TR - Turecká republika
http://linked.open...ontrolniKodProRIV	[3B6721398F77]
http://linked.open...i/riv/nazevZdroje	Energy Education Science and Technology Part A: Energy Science and Research
http://linked.open...in/vavai/riv/obor	JE
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Reliable Electric Power Network with Connected Alternative Power Sources ENET - Energy Units for Utilization of non Traditional Energy Sources
http://linked.open...UplatneniVysledku	2013
http://linked.open...v/svazekPeriodika	31
http://linked.open...iv/tvurceVysledku	Krömer, Pavel Mišák, Stanislav Prokop, Lukáš Snášel, Václav Novosad, Tomáš
issn	1308-772X
number of pages	12 (xsd:int)
http://localhost/t...ganizacniJednotka	27730

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