Electricity intra-day spot prices prediction via artificial neural networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00212812" target="_blank" >RIV/68407700:21230/13:00212812 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Electricity intra-day spot prices prediction via artificial neural networks
Original language 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.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
JE - Non-nuclear power engineering, energy consumption and utilization
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů