The Effect of Data Decomposition on Prediction Performance in Wind Speed Prediction with Artificial Neural Network

Serkan Şenkal; Cem Emeksiz

doi:10.47897/bilmes.1406384

TR EN

The Effect of Data Decomposition on Prediction Performance in Wind Speed Prediction with Artificial Neural Network

Abstract

This study investigates the effect of data decomposition to improve the performance of artificial neural networks (ANNs), widely used in wind speed forecasting in the wind energy sector. Artificial neural networks are essential tools for planning and optimizing the daily generation of wind power plants. However, prediction errors can lead to significant problems in power generation and energy grid management. The results show that data decomposition substantially affects the wind speed forecasting performance of neural networks. These findings are essential for researchers and industry professionals interested in developing more accurate forecasting models for power generation planning and management in the wind energy sector. By integrating artificial neural networks and data disaggregation methods, the study stands out as an essential step forward to improve the accuracy of wind speed forecasts and optimize the efficiency of wind energy facilities.

Keywords

Wind speed estimation, artificial neural networks, data decomposition

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Details

Primary Language

Turkish

Subjects

Wind Energy Systems, Renewable Energy Resources

Journal Section

Research Article

Authors

Serkan Şenkal ^*
0000-0002-4571-3923
Türkiye

Cem Emeksiz
0000-0002-4817-9607
Türkiye

Publication Date

December 31, 2023

Submission Date

December 18, 2023

Acceptance Date

December 29, 2023

Published in Issue

Year 2023 Volume: 7 Number: 2

DOI

https://doi.org/10.47897/bilmes.1406384

IZ

https://izlik.org/JA89RU47SF

APA

Şenkal, S., & Emeksiz, C. (2023). The Effect of Data Decomposition on Prediction Performance in Wind Speed Prediction with Artificial Neural Network. International Scientific and Vocational Studies Journal, 7(2), 213-223. https://doi.org/10.47897/bilmes.1406384

AMA

1.Şenkal S, Emeksiz C. The Effect of Data Decomposition on Prediction Performance in Wind Speed Prediction with Artificial Neural Network. ISVOS. 2023;7(2):213-223. doi:10.47897/bilmes.1406384

Chicago

Şenkal, Serkan, and Cem Emeksiz. 2023. “The Effect of Data Decomposition on Prediction Performance in Wind Speed Prediction With Artificial Neural Network”. International Scientific and Vocational Studies Journal 7 (2): 213-23. https://doi.org/10.47897/bilmes.1406384.

EndNote

Şenkal S, Emeksiz C (December 1, 2023) The Effect of Data Decomposition on Prediction Performance in Wind Speed Prediction with Artificial Neural Network. International Scientific and Vocational Studies Journal 7 2 213–223.

IEEE

[1]S. Şenkal and C. Emeksiz, “The Effect of Data Decomposition on Prediction Performance in Wind Speed Prediction with Artificial Neural Network”, ISVOS, vol. 7, no. 2, pp. 213–223, Dec. 2023, doi: 10.47897/bilmes.1406384.

ISNAD

Şenkal, Serkan - Emeksiz, Cem. “The Effect of Data Decomposition on Prediction Performance in Wind Speed Prediction With Artificial Neural Network”. International Scientific and Vocational Studies Journal 7/2 (December 1, 2023): 213-223. https://doi.org/10.47897/bilmes.1406384.

JAMA

1.Şenkal S, Emeksiz C. The Effect of Data Decomposition on Prediction Performance in Wind Speed Prediction with Artificial Neural Network. ISVOS. 2023;7:213–223.

MLA

Şenkal, Serkan, and Cem Emeksiz. “The Effect of Data Decomposition on Prediction Performance in Wind Speed Prediction With Artificial Neural Network”. International Scientific and Vocational Studies Journal, vol. 7, no. 2, Dec. 2023, pp. 213-2, doi:10.47897/bilmes.1406384.

Vancouver

1.Serkan Şenkal, Cem Emeksiz. The Effect of Data Decomposition on Prediction Performance in Wind Speed Prediction with Artificial Neural Network. ISVOS. 2023 Dec. 1;7(2):213-2. doi:10.47897/bilmes.1406384

Cited By

A comparative analysis of iterative and variational decomposition strategies for wind speed forecasting: LMD and VMD

International Journal of Energy Studies

https://doi.org/10.58559/ijes.1847604

Forecasting Wind Speed with Autoregressive and Long-Short Term Memory Neural Network Models

Journal of AI

https://doi.org/10.61969/jai.1789834

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