Forecasting Electricity Consumption in Czech Republic

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU114871" target="_blank" >RIV/00216305:26220/15:PU114871 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/7296264" target="_blank" >https://ieeexplore.ieee.org/document/7296264</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2015.7296264" target="_blank" >10.1109/TSP.2015.7296264</a>

Result language
angličtina
Original language name
Forecasting Electricity Consumption in Czech Republic
Original language description
Correct prediction of electricity consumption is important for planning its production in the short term, but also in the long term due to the construction of new power plants and mining planning. Accurate prediction is a challenging task because the consumption changes both in the day and during the whole year. The paper describes a method based only on input data for consumption. No additional influences were included such as temperature, wind, GDP (Gross Domestic Product). Five machine learning algorithms were used to create a predictive model. The best results were achieved with a local polynomial regression algorithm. Daily prediction error was 5.77%, weekly 3.49% and monthly 2.41%.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 38th International Conference on Telecommunication and Signal Processing, TSP 2015
ISBN
978-1-4799-8497-8
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
262-265
Publisher name
Neuveden
Place of publication
Prague, Czech Republic
Event location
Prague, Czech Republic
Event date
Jul 9, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000375231000156

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