Accurate Short-Term Power Forecasting of Wind Turbines: The Case of Jeju Island’s Wind Farm
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- Liu, Y. & Li, Y.P. & Huang, G.H. & Lv, J. & Zhai, X.B. & Li, Y.F. & Zhou, B.Y., 2023. "Development of an integrated model on the basis of GCMs-RF-FA for predicting wind energy resources under climate change impact: A case study of Jing-Jin-Ji region in China," Renewable Energy, Elsevier, vol. 219(P2).
- Muhammad Ali & Dae-Hee Son & Sang-Hee Kang & Soon-Ryul Nam, 2017. "An Accurate CT Saturation Classification Using a Deep Learning Approach Based on Unsupervised Feature Extraction and Supervised Fine-Tuning Strategy," Energies, MDPI, vol. 10(11), pages 1-24, November.
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wind power forecasting; enhancing reliability; power curve; support vector machine (SVM); support vector regression (SVR);All these keywords.
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