Research Article

Estimation of Solar Energy Production Data from Renewable Energy Sources Using ANN Method and Presenting It to the Public Benefit

Volume: 3 Number: 2 November 25, 2025
Mehmet Akif Yüksel *, Esma Uzunhisarcıklı , Ramazan Aldemir
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Estimation of Solar Energy Production Data from Renewable Energy Sources Using ANN Method and Presenting It to the Public Benefit

Abstract

Nowadays, the use of renewable energy sources in electricity generation is gradually increasing compared to non-renewable sources, and artificial intelligence algorithms are effectively used in energy forecasting. In this study, a multi-layer feedforward ANN model was developed using real energy production data from solar panels of two different public enterprises for the years 2019-2022. Hyperparameter optimization was performed, and the Levenberg-Marquardt (LM) algorithm was selected after comparison with other algorithms due to its superior performance. The data were split into 70% for training and 30% for testing, and seasonal prediction analyses were carried out. According to the results obtained, seasonal forecasts made using the ANN method were found to be highly accurate, especially during the summer months.

Keywords

Renewable energy, Solar energy, ANN.

References

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Details

Primary Language

English

Subjects

Mathematical Optimisation

Journal Section

Research Article

Authors

Publication Date

November 25, 2025

Submission Date

August 21, 2025

Acceptance Date

October 18, 2025

Published in Issue

Year 2025 Volume: 3 Number: 2

DOI

https://doi.org/10.70500/bjs.1764925

IZ

https://izlik.org/JA38EU95ZA

Cite

RIS / Bibtex
APA
Yüksel, M. A., Uzunhisarcıklı, E., & Aldemir, R. (2025). Estimation of Solar Energy Production Data from Renewable Energy Sources Using ANN Method and Presenting It to the Public Benefit. Bozok Journal of Science, 3(2), 78-88. https://doi.org/10.70500/bjs.1764925
AMA
1.Yüksel MA, Uzunhisarcıklı E, Aldemir R. Estimation of Solar Energy Production Data from Renewable Energy Sources Using ANN Method and Presenting It to the Public Benefit. BJS. 2025;3(2):78-88. doi:10.70500/bjs.1764925
Chicago
Yüksel, Mehmet Akif, Esma Uzunhisarcıklı, and Ramazan Aldemir. 2025. “Estimation of Solar Energy Production Data from Renewable Energy Sources Using ANN Method and Presenting It to the Public Benefit”. Bozok Journal of Science 3 (2): 78-88. https://doi.org/10.70500/bjs.1764925.
EndNote
Yüksel MA, Uzunhisarcıklı E, Aldemir R (November 1, 2025) Estimation of Solar Energy Production Data from Renewable Energy Sources Using ANN Method and Presenting It to the Public Benefit. Bozok Journal of Science 3 2 78–88.
IEEE
[1]M. A. Yüksel, E. Uzunhisarcıklı, and R. Aldemir, “Estimation of Solar Energy Production Data from Renewable Energy Sources Using ANN Method and Presenting It to the Public Benefit”, BJS, vol. 3, no. 2, pp. 78–88, Nov. 2025, doi: 10.70500/bjs.1764925.
ISNAD
Yüksel, Mehmet Akif - Uzunhisarcıklı, Esma - Aldemir, Ramazan. “Estimation of Solar Energy Production Data from Renewable Energy Sources Using ANN Method and Presenting It to the Public Benefit”. Bozok Journal of Science 3/2 (November 1, 2025): 78-88. https://doi.org/10.70500/bjs.1764925.
JAMA
1.Yüksel MA, Uzunhisarcıklı E, Aldemir R. Estimation of Solar Energy Production Data from Renewable Energy Sources Using ANN Method and Presenting It to the Public Benefit. BJS. 2025;3:78–88.
MLA
Yüksel, Mehmet Akif, et al. “Estimation of Solar Energy Production Data from Renewable Energy Sources Using ANN Method and Presenting It to the Public Benefit”. Bozok Journal of Science, vol. 3, no. 2, Nov. 2025, pp. 78-88, doi:10.70500/bjs.1764925.
Vancouver
1.Mehmet Akif Yüksel, Esma Uzunhisarcıklı, Ramazan Aldemir. Estimation of Solar Energy Production Data from Renewable Energy Sources Using ANN Method and Presenting It to the Public Benefit. BJS. 2025 Nov. 1;3(2):78-8. doi:10.70500/bjs.1764925