Publication detail

Electricity Load Forecasting Using Autoregressive And Artificial Neural Network Model

VYČÍTAL, V. TOMAN, P.

Original Title

Electricity Load Forecasting Using Autoregressive And Artificial Neural Network Model

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

VYČÍTAL, V.; TOMAN, P.

Released

28. 4. 2016

Publisher

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních

Location

Brno

ISBN

978-80-214-5350-0

Book

Proceedings of the 22nd conference Student EEICT

Pages from

472

Pages to

476

Pages count

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"
}