Detail publikace

Electricity Load Forecasting Using Autoregressive And Artificial Neural Network Model

VYČÍTAL, V. TOMAN, P.

Originální název

Electricity Load Forecasting Using Autoregressive And Artificial Neural Network Model

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Abstract-In this paper a short review of two forecasting models Autoregressive and Artificial neural network is presented. Both models were used to demonstrate its superior performance in load forecasting issues. In the third section the results of load forecasting experiment are given. For obtained forecasted results mean absolute percentage error for autoregressive model was 0.644 % and for artificial neural network model 2.31 %. In this paper error distribution for both models is also shown.

Klíčová slova

Load, load forecast, load prediction, autoregressive model, artificial neural network

Autoři

VYČÍTAL, V.; TOMAN, P.

Vydáno

28. 4. 2016

Nakladatel

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních

Místo

Brno

ISBN

978-80-214-5350-0

Kniha

Proceedings of the 22nd conference Student EEICT

Strany od

472

Strany do

476

Strany počet

777

URL

http://www.feec.vutbr.cz/EEICT/2016/sbornik/EEICT-2016-sborn%C3%ADk-komplet.pdf

BibTex

@inproceedings{BUT126965,
  author="Václav {Vyčítal} and Petr {Toman}",
  title="Electricity Load Forecasting Using Autoregressive And Artificial Neural Network Model",
  booktitle="Proceedings of the 22nd conference Student EEICT",
  year="2016",
  pages="472--476",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních",
  address="Brno",
  isbn="978-80-214-5350-0",
  url="http://www.feec.vutbr.cz/EEICT/2016/sbornik/EEICT-2016-sborn%C3%ADk-komplet.pdf"
}