Investigation of Energy Efficiency with Artificial Intelligence Based Dynamic Blade Angle Control for Wind Turbines
Abstract
Keywords
Kaynakça
- Abouheaf M., Gueaieb W., Sharaf A. Model-free adaptive learning control scheme for wind turbines with doubly fed induction generators. IET Renewable Power Generation. 2018; 12(14): 1675-1686.
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- Bottasso C., Wang L. Enhancing wind turbine stability with advanced pitch control algorithms. Journal of Renewable and Sustainable Energy. 2023; 15(3): 230-239.
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- Fernandez-Gauna B., Fernandez-Gamiz U. Variable speed wind turbine controller adaptation by reinforcement learning. Integrated Computer-Aided Engineering. 2017; 24(1): 27-39.
- Haizmann F., Bauer N., Brücke T. Model predictive control for blade pitch optimization. Renewable Energy Journal. 2022; 75: 258-270.
- Harris M., Cole S., Good M. Longitudinal velocity estimation using nacelle-mounted lidar systems. Renewable Energy Journal. 2023; 35: 457-470.
- Khaniki R., Azadi M., Faghihimani M. LiDAR-based wind prediction for feedforward pitch control. Journal of Wind Engineering. 2023; 30(2): 112-125.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Rüzgar Enerjisi Sistemleri
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
16 Eylül 2025
Gönderilme Tarihi
16 Ekim 2024
Kabul Tarihi
6 Nisan 2025
Yayımlandığı Sayı
Yıl 2025 Cilt: 8 Sayı: 4
