Detail publikace

Forecasting Electricity Consumption in Czech Republic

UHER, V. BURGET, R. DUTTA, M. MLÝNEK, P.

Originální název

Forecasting Electricity Consumption in Czech Republic

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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%.

Klíčová slova

Electricity consumption, forecast, machine learning, optimalization, prediction

Autoři

UHER, V.; BURGET, R.; DUTTA, M.; MLÝNEK, P.

Rok RIV

2015

Vydáno

9. 7. 2015

Místo

Prague, Czech Republic

ISBN

978-1-4799-8497-8

Kniha

Proceedings of the 38th International Conference on Telecommunication and Signal Processing, TSP 2015

ISSN

NEUVEDENO

Strany od

262

Strany do

265

Strany počet

4

URL

https://ieeexplore.ieee.org/document/7296264

BibTex

@inproceedings{BUT115494,
  author="Václav {Uher} and Radim {Burget} and Malay Kishore {Dutta} and Petr {Mlýnek}",
  title="Forecasting Electricity Consumption in Czech Republic",
  booktitle="Proceedings of the 38th International Conference on Telecommunication and Signal Processing, TSP 2015",
  year="2015",
  pages="262--265",
  address="Prague, Czech Republic",
  doi="10.1109/TSP.2015.7296264",
  isbn="978-1-4799-8497-8",
  url="https://ieeexplore.ieee.org/document/7296264"
}