Wind power prediction based on deep learning models: The case of Adama wind farm by Seblewongale Mezgebu Ayene, Abdulkerim Mohammed Yibre

Subjects: “…Wind power forecasting…”
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Enhancing Regional Wind Power Forecasting through Advanced Machine-Learning and Feature-Selection Techniques by Nabi Taheri, Mauro Tucci

Subjects: “…wind power forecasting…”
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Investigation of the Features Influencing the Accuracy of Wind Turbine Power Calculation at Short-Term Intervals by Pavel V. Matrenin, Dmitry A. Harlashkin, Marina V. Mazunina, Alexandra I. Khalyasmaa

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Novel nonlinear wind power prediction based on improved iterative algorithm by Fu Zhen-yu, Lin Gui-quan, Tian Wei-da, Pan Zhi-hao, Zhang Wei-cong

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IDHNet: Ultra‐Short‐Term Wind Power Forecasting With IVMD–DCInformer–HSSA Network by Wei Li, Lu Gao, Fei Zhang, XiaoYing Ren, Ling Qin

Subjects: “…ultra‐short‐term wind power forecasting…”
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Federated learning and non-federated learning based power forecasting of photovoltaic/wind power energy systems: A systematic review by Ferial ElRobrini, Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Nedaa Al-Tawalbeh, Naureen Akhtar, Filippo Sanfilippo

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Short-Term Wind Power Forecasting Based on OMNIC and Adaptive Fractional Order Generalized Pareto Motion Model by Fan Cai, Dongdong Chen, Yuesong Jiang, Tongbo Zhu

Subjects: “…wind power forecasting…”
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Advancing Smart Zero-Carbon Cities: High-Resolution Wind Energy Forecasting to 36 Hours Ahead by Haytham Elmousalami, Aljawharah A. Alnaser, Felix Kin Peng Hui

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Deep learning-based GoogLeNet-embedded no-pooling dimension fully-connected network for short-term wind power prediction by Pingping Xie, Yang Liu, Qiuyu Lu, Xu Lin, Yinguo Yang, Xudong Hu

Subjects: “…Short-term wind power forecasting…”
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Ultra-Short-Term Wind Power Forecasting Based on the MSADBO-LSTM Model by Ziquan Zhao, Jing Bai

Subjects: “…ultra-short-term wind power forecasting…”
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Peak interval-focused wind power forecast with dynamic ramp considerations by Nanyang Zhu, Ying Wang, Kun Yuan, Jianhu Lv, Bo Su, Kaifeng Zhang

Subjects: “…Wind power forecast…”
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