Analysis of Electricity Production in Solar Power Plants in the Aegean Region and Modeling Using Artificial Intelligence Methods

Ahmet Beyzade Demirpolat; Ömer Osman Orhan

doi:10.46460/ijiea.1822629

TR EN

Ege Bölgesindeki Güneş Enerjisi Santrallerinde Elektrik Üretiminin Analizi ve Yapay Zeka Yöntemleriyle Modellenmesi

Öz

Günümüzde, nüfus artışı ve teknolojik gelişmeler nedeniyle küresel enerji talebi sürekli olarak artmaktadır. Bu artan talep, alternatif ve yenilenebilir enerji kaynakları üzerine yapılan araştırmaları teşvik etmiştir. Bu kaynaklar arasında, güneş enerjisi çevre dostu bir seçenek olarak önemli bir yer edinmiştir. Güneş enerjisi teknolojilerindeki gelişmeler sayesinde, güneş ışınları fotovoltaik (PV) panellerle yakalanarak elektrik enerjisine dönüştürülebilir ve böylece enerji ihtiyacının önemli bir kısmı sürdürülebilir bir şekilde karşılanabilir. Bu çalışmada, farklı iklim koşulları altında Ege Bölgesi'nin farklı illerindeki güneş enerjisi santrallerinde üretilen elektrik miktarı, meteorolojik verilerle eşleştirilerek belirlenmiştir. Elde edilen verilerin doğruluğunu değerlendirmek ve bir tahmin modeli geliştirmek için, sıcaklık, nem, rüzgar hızı ve güneş radyasyonu gibi parametrelere dayalı olarak PV panellerinin güç çıkışını tahmin etmek üzere bir yapay zeka algoritması eğitilmiştir. Değerlendirilen iller arasında, modelin Denizli ilinde günlük enerji üretimini yaklaşık %96 doğruluk oranıyla tahmin ettiği gözlemlenmiştir. Çalışma, Ege Bölgesi'nde iklimsel değişkenliğin güneş enerjisinin verimli kullanımına etkisini incelemekte, saha çalışmalarında ölçüm verimliliğini etkileyen faktörleri belirlemekte ve yapay zeka teknikleri kullanılarak elde edilen enerji modelleme sonuçlarını sunmaktadır. Bulguların entegrasyonu ve yorumlanması, Türkiye'deki güneş enerjisi santrallerinin performans ve kapasite analizi ile ilgili literatüre önemli katkılar sağlaması beklenmektedir.

Anahtar Kelimeler

Yapay zeka, Verimlilik, Enerji, Fotovoltaik panel, Makine Öğrenimi.

Destekleyen Kurum

Malatya Turgut Özal Üniversitesi Bilimsel Araştırma Projeleri Koordinasyon Birimi

Proje Numarası

25G19

Teşekkür

Bu çalışma, Malatya Turgut Özal Üniversitesi Bilimsel Araştırma Projeleri Koordinasyon Birimi proje numarası 25G19 tarafından desteklenmiştir. Tüm yazarlar, ilgili kurumlara destekleri için teşekkürlerini sunarlar.

Analysis of Electricity Production in Solar Power Plants in the Aegean Region and Modeling Using Artificial Intelligence Methods

Öz

Today, global energy demand is constantly increasing due to population growth and technological developments. This growing demand has encouraged research into alternative and renewable energy sources. Among these sources, solar energy has gained significant importance as an environmentally friendly option. Thanks to advances in solar energy technologies, solar radiation can be captured by photovoltaic (PV) panels and converted into electrical energy, thereby meeting a significant portion of energy needs in a sustainable manner. In this study, the amount of electricity generated by solar power plants in different provinces of the Aegean Region under varying climatic conditions was determined by matching meteorological data. To evaluate the accuracy of the obtained data and develop a prediction model, an artificial intelligence algorithm was trained to predict the power output of PV panels based on parameters such as temperature, humidity, wind speed, and solar radiation. Among the evaluated provinces, it was observed that the model predicted daily energy production with an accuracy rate of approximately 96% in the province of Denizli. The study examines the effect of climatic variability on the efficient use of solar energy in the Aegean Region, identifies factors affecting measurement efficiency in field studies, and presents energy modeling results obtained using artificial intelligence techniques. The integration and interpretation of the findings are expected to make significant contributions to the literature on the performance and capacity analysis of solar power plants in Turkey.

Anahtar Kelimeler

Artificial intelligence, Photovoltaic panel, Machine Learning, Efficiency, Energy

Destekleyen Kurum

Malatya Turgut Özal University Scientific Research Projects Coordination Unit

Proje Numarası

25G19

Teşekkür

This work was supported by Malatya Turgut Özal University Scientific Research Projects Coordination Unit project number 25G19. All authors express their gratitude to the relevant institutions for their support.

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Enerji, Makine Mühendisliğinde Optimizasyon Teknikleri

Bölüm

Araştırma Makalesi

Yazarlar

Ahmet Beyzade Demirpolat ^*
0000-0003-2533-3381
Türkiye

Ömer Osman Orhan
0009-0009-4384-8830
Türkiye

Yayımlanma Tarihi

30 Haziran 2026

Gönderilme Tarihi

12 Kasım 2025

Kabul Tarihi

14 Mayıs 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 10 Sayı: 1

DOI

https://doi.org/10.46460/ijiea.1822629

IZ

https://izlik.org/JA23WW97XZ

APA

Demirpolat, A. B., & Orhan, Ö. O. (2026). Analysis of Electricity Production in Solar Power Plants in the Aegean Region and Modeling Using Artificial Intelligence Methods. International Journal of Innovative Engineering Applications, 10(1), 12-19. https://doi.org/10.46460/ijiea.1822629

AMA

1.Demirpolat AB, Orhan ÖO. Analysis of Electricity Production in Solar Power Plants in the Aegean Region and Modeling Using Artificial Intelligence Methods. ijiea, IJIEA. 2026;10(1):12-19. doi:10.46460/ijiea.1822629

Chicago

Demirpolat, Ahmet Beyzade, ve Ömer Osman Orhan. 2026. “Analysis of Electricity Production in Solar Power Plants in the Aegean Region and Modeling Using Artificial Intelligence Methods”. International Journal of Innovative Engineering Applications 10 (1): 12-19. https://doi.org/10.46460/ijiea.1822629.

EndNote

Demirpolat AB, Orhan ÖO (01 Haziran 2026) Analysis of Electricity Production in Solar Power Plants in the Aegean Region and Modeling Using Artificial Intelligence Methods. International Journal of Innovative Engineering Applications 10 1 12–19.

IEEE

[1]A. B. Demirpolat ve Ö. O. Orhan, “Analysis of Electricity Production in Solar Power Plants in the Aegean Region and Modeling Using Artificial Intelligence Methods”, ijiea, IJIEA, c. 10, sy 1, ss. 12–19, Haz. 2026, doi: 10.46460/ijiea.1822629.

ISNAD

Demirpolat, Ahmet Beyzade - Orhan, Ömer Osman. “Analysis of Electricity Production in Solar Power Plants in the Aegean Region and Modeling Using Artificial Intelligence Methods”. International Journal of Innovative Engineering Applications 10/1 (01 Haziran 2026): 12-19. https://doi.org/10.46460/ijiea.1822629.

JAMA

1.Demirpolat AB, Orhan ÖO. Analysis of Electricity Production in Solar Power Plants in the Aegean Region and Modeling Using Artificial Intelligence Methods. ijiea, IJIEA. 2026;10:12–19.

MLA

Demirpolat, Ahmet Beyzade, ve Ömer Osman Orhan. “Analysis of Electricity Production in Solar Power Plants in the Aegean Region and Modeling Using Artificial Intelligence Methods”. International Journal of Innovative Engineering Applications, c. 10, sy 1, Haziran 2026, ss. 12-19, doi:10.46460/ijiea.1822629.

Vancouver

1.Ahmet Beyzade Demirpolat, Ömer Osman Orhan. Analysis of Electricity Production in Solar Power Plants in the Aegean Region and Modeling Using Artificial Intelligence Methods. ijiea, IJIEA. 01 Haziran 2026;10(1):12-9. doi:10.46460/ijiea.1822629

Ege Bölgesindeki Güneş Enerjisi Santrallerinde Elektrik Üretiminin Analizi ve Yapay Zeka Yöntemleriyle Modellenmesi

Öz

Anahtar Kelimeler

Destekleyen Kurum

Proje Numarası

Teşekkür

Analysis of Electricity Production in Solar Power Plants in the Aegean Region and Modeling Using Artificial Intelligence Methods

Öz

Anahtar Kelimeler

Destekleyen Kurum

Proje Numarası

Teşekkür

Kaynakça

Ayrıntılar

Birincil Dil

Konular

Bölüm

Yazarlar

Yayımlanma Tarihi

Gönderilme Tarihi

Kabul Tarihi

Yayımlandığı Sayı

DOI

IZ

Kaynak Göster