Enhancing wind power forecast accuracy using the weather research and forecasting numerical model-based features and artificial neuronal networks
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DOI: 10.1016/j.renene.2022.11.022
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Cited by:
- Nicholas Christakis & Ioanna Evangelou & Dimitris Drikakis & George Kossioris, 2024. "A Computational Methodology for Assessing Wind Potential," Energies, MDPI, vol. 17(6), pages 1-23, March.
- Yi Liu & Jun He & Yu Wang & Zong Liu & Lixun He & Yanyang Wang, 2023. "Short-Term Wind Power Prediction Based on CEEMDAN-SE and Bidirectional LSTM Neural Network with Markov Chain," Energies, MDPI, vol. 16(14), pages 1-25, July.
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Keywords
Wind power forecast; Wind power variability; Meteorological parameters; NWP model; Feature selection;All these keywords.
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