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Çok Kısa Dönem ve Kısa Dönem Ufukları için Rüzgâr Gücü Tahmin Çalışmalarının İncelenmesi ve Değerlendirilmesi

Year 2025, Volume: 13 Issue: 2, 812 - 826, 30.06.2025
https://doi.org/10.29109/gujsc.1627535

Abstract

Elektrik şebekelerinde rüzgâr enerjisinin penetrasyonu sürekli olarak artmakta ve rüzgâr hızının kesintili doğası sistem operasyonlarında sorunlara neden olmaktadır. Bu nedenle, kamu hizmet kuruluşları, sistem operatörleri ve araştırmacılar değişken üretimin olumsuz etkilerini hafifletmeye ve rüzgâr enerjisini verimli bir şekilde toplamaya odaklanmaktadır. Bu noktada, doğru rüzgâr gücü tahminleri literatürde umut vadeden araştırma çalışmaları olarak hizmet vermektedir. Bu amaçla, bu makale çok kısa dönem ve kısa dönem ufukları için rüzgâr gücü tahmin çalışmalarının kapsamlı bir literatür incelemesini sunmaktadır. İncelenen çalışmalar rüzgâr güç santrallerinin kurulum özellikleri, tahmin modellerinin girdileri, veri kayıt aralıkları ve periyotları, eğitim, doğrulama ve test alt kümeleri, tahmin ufukları, doğruluk ölçümleri ve tahmin performansı açısından karşılaştırılmıştır. Oluşturulan bilgi yoğun literatür tabloları sonucunda, çok kısa dönem ve kısa dönem tahmin çalışmalarının güncel değerlendirmeleri farklı perspektiflerden yapılmış ve incelenen çalışmaların daha adil karşılaştırmaları için dikkate değer öneriler vurgulanmıştır.

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Review and Assessment of Wind Power Forecasting Studies for Very Short-Term and Short-Term Horizons

Year 2025, Volume: 13 Issue: 2, 812 - 826, 30.06.2025
https://doi.org/10.29109/gujsc.1627535

Abstract

Wind energy penetration is continuously increasing in electricity grids and the intermittent nature of wind speed causes the problems in system operations. Therefore, utilities, system operators and researchers focus on alleviating the negative impacts of volatile generation and harvesting wind energy efficiently. At this point, accurate wind power forecasts serve as the promising research studies in the literature. To this end, this paper presents a comprehensive literature review of wind power forecasting studies for very short-term and short-term horizons. The reviewed studies have been compared in terms of installation properties of wind power plants, inputs of forecast models, data recording intervals and periods, training, validation and test subsets, forecast horizons, accuracy measures and forecast performance. As a result of the knowledge-intensive literature tables created, the up-to-date assessments of very short-term and short-term forecasting studies have been made from different perspectives, and noteworthy recommendations have been highlighted for fairer comparisons of the reviewed studies.

References

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  • [20] Yesilbudak M. A novel power curve modeling framework for wind turbines. Advances in Electrical and Computer Engineering. 2019; 19(3): 29-40.
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  • [22] Alkhayat G, Mehmood R. A review and taxonomy of wind and solar energy forecasting methods based on deep learning. Energy and AI. 2021; 4: 100060.
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  • [27] Zhao E, Sun S, Wang S. New developments in wind energy forecasting with artificial intelligence and big data: A scientometric insight. Data Science and Management. 2022; 5(2): 84-95.
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There are 101 citations in total.

Details

Primary Language English
Subjects Electrical Energy Generation (Incl. Renewables, Excl. Photovoltaics)
Journal Section Tasarım ve Teknoloji
Authors

Mehmet Yeşilbudak 0000-0002-9739-5883

Mustafa Benli 0000-0003-0132-4245

Early Pub Date May 28, 2025
Publication Date June 30, 2025
Submission Date January 27, 2025
Acceptance Date March 5, 2025
Published in Issue Year 2025 Volume: 13 Issue: 2

Cite

APA Yeşilbudak, M., & Benli, M. (2025). Review and Assessment of Wind Power Forecasting Studies for Very Short-Term and Short-Term Horizons. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım Ve Teknoloji, 13(2), 812-826. https://doi.org/10.29109/gujsc.1627535

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