Original title: Electricity Load Forecasting Using Auto-Regressive and Artificial Neural Network Model
Authors: Vyčítal, Václav
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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: artificial neural network; autoregressive model; Load; load forecast; load prediction
Host item entry: Proceedings of the 22nd Conference STUDENT EEICT 2016, ISBN 978-80-214-5350-0

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/83978

Permalink: http://www.nusl.cz/ntk/nusl-383696


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Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers