Electricity Load Forecasting via ANN Approach in Turkish Electricity Markets

Fazıl Gökgöz; Fahrettin Filiz

doi:10.33721/by.834285

TR EN

Electricity Load Forecasting via ANN Approach in Turkish Electricity Markets

Abstract

Forecasting electricity load has become the essential task for electric utilities, power plants and regulators. It is essential that electricity load forecasts, which are a vital necessity of energy policies, produce healthy and reliable results. Artificial neural networks (ANN) can learn complex and nonlinear relationships. This article introduces 400 different ANN models for electricity load forecasting. Model performances have compared with Mean Absolute Percentage Error (MAPE) and Diebold-Mariano (DM) test. The electricity load data used for this study range from 2014 to 2016. The variation in forecasting ability of ANN for different models has also discussed. Levenberg-Marquardt (LM) with log-sigmoid transfer function trains the best performance ANN model.

Keywords

Electricity Load Forecast, Artificial Neural Network, Turkey

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Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Authors

Fazıl Gökgöz ^*
0000-0002-9228-7699
Türkiye

Fahrettin Filiz
0000-0001-5513-9665
Türkiye

Publication Date

December 31, 2020

Submission Date

December 2, 2020

Acceptance Date

December 21, 2020

Published in Issue

Year 2020 Volume: 3 Number: 2

DOI

https://doi.org/10.33721/by.834285

IZ

https://izlik.org/JA68WL63JR

APA

Gökgöz, F., & Filiz, F. (2020). Electricity Load Forecasting via ANN Approach in Turkish Electricity Markets. Bilgi Yönetimi, 3(2), 170-184. https://doi.org/10.33721/by.834285

AMA

1.Gökgöz F, Filiz F. Electricity Load Forecasting via ANN Approach in Turkish Electricity Markets. IM. 2020;3(2):170-184. doi:10.33721/by.834285

Chicago

Gökgöz, Fazıl, and Fahrettin Filiz. 2020. “Electricity Load Forecasting via ANN Approach in Turkish Electricity Markets”. Bilgi Yönetimi 3 (2): 170-84. https://doi.org/10.33721/by.834285.

EndNote

Gökgöz F, Filiz F (December 1, 2020) Electricity Load Forecasting via ANN Approach in Turkish Electricity Markets. Bilgi Yönetimi 3 2 170–184.

IEEE

[1]F. Gökgöz and F. Filiz, “Electricity Load Forecasting via ANN Approach in Turkish Electricity Markets”, IM, vol. 3, no. 2, pp. 170–184, Dec. 2020, doi: 10.33721/by.834285.

ISNAD

Gökgöz, Fazıl - Filiz, Fahrettin. “Electricity Load Forecasting via ANN Approach in Turkish Electricity Markets”. Bilgi Yönetimi 3/2 (December 1, 2020): 170-184. https://doi.org/10.33721/by.834285.

JAMA

1.Gökgöz F, Filiz F. Electricity Load Forecasting via ANN Approach in Turkish Electricity Markets. IM. 2020;3:170–184.

MLA

Gökgöz, Fazıl, and Fahrettin Filiz. “Electricity Load Forecasting via ANN Approach in Turkish Electricity Markets”. Bilgi Yönetimi, vol. 3, no. 2, Dec. 2020, pp. 170-84, doi:10.33721/by.834285.

Vancouver

1.Fazıl Gökgöz, Fahrettin Filiz. Electricity Load Forecasting via ANN Approach in Turkish Electricity Markets. IM. 2020 Dec. 1;3(2):170-84. doi:10.33721/by.834285