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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F13%3A00212812%21RIV14-MSM-21230___
rdf:type
n6:Vysledek skos:Concept
dcterms:description
The ability to predict future electricity prices on the spot market provides possibility for electrical devices to optimize their power consumption based on operating costs. This approach is an alternative to receiving control singals from the smart grid. It could be used when connected to an old-fashioned electrical grid without any infrastructure change. The ability to predict future electricity prices on the spot market provides possibility for electrical devices to optimize their power consumption based on operating costs. This approach is an alternative to receiving control singals from the smart grid. It could be used when connected to an old-fashioned electrical grid without any infrastructure change.
dcterms:title
Electricity intra-day spot prices prediction via artificial neural networks Electricity intra-day spot prices prediction via artificial neural networks
skos:prefLabel
Electricity intra-day spot prices prediction via artificial neural networks Electricity intra-day spot prices prediction via artificial neural networks
skos:notation
RIV/68407700:21230/13:00212812!RIV14-MSM-21230___
n6:predkladatel
n9:orjk%3A21230
n3:aktivita
n8:I
n3:aktivity
I
n3:dodaniDat
n14:2014
n3:domaciTvurceVysledku
n13:5030331
n3:druhVysledku
n16:O
n3:duvernostUdaju
n11:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
72335
n3:idVysledku
RIV/68407700:21230/13:00212812
n3:jazykVysledku
n10:eng
n3:klicovaSlova
artificial neural network; electricity; market; spot price; prediction
n3:klicoveSlovo
n4:artificial%20neural%20network n4:prediction n4:spot%20price n4:market n4:electricity
n3:kontrolniKodProRIV
[DE6BACD4CB75]
n3:obor
n17:JE
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:rokUplatneniVysledku
n14:2013
n3:tvurceVysledku
Šedek, Pavel
n15:organizacniJednotka
21230