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Predictive analysis of RNN, GBM and LSTM network for short-term wind power forecasting

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Sherry Garg & Rajalakshmi Krishnamurthi. (2023) A survey of long short term memory and its associated models in sustainable wind energy predictive analytics. Artificial Intelligence Review 56:S1, pages 1149-1198.
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旭 掌. (2023) Research on Wind Power Prediction Model Based on BP Neural Network. Advances in Energy and Power Engineering 11:01, pages 22-29.
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Sherry Garg & Rajalakshmi Krishnamurthi. (2022) Powernet: A novel method for wind power predictive analytics using Powernet deep learning model. Journal of Renewable and Sustainable Energy 14:4.
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Stephan Schlüter, Sejung Jung, Andreas von Döllen & Wonhee Lee. (2022) An Alternative to Index-Based Gas Sourcing Using Neural Networks. Energies 15:13, pages 4708.
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Sebastian C. Ibañez, Carlo Vincienzo G. Dajac, Marissa P. Liponhay, Erika Fille T. Legara, Jon Michael H. Esteban & Christopher P. Monterola. (2021) Forecasting Reservoir Water Levels Using Deep Neural Networks: A Case Study of Angat Dam in the Philippines. Water 14:1, pages 34.
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Zhongda Tian & Hao Chen. (2021) A novel decomposition-ensemble prediction model for ultra-short-term wind speed. Energy Conversion and Management 248, pages 114775.
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Zhongda Tian & Hao Chen. (2021) Multi-step short-term wind speed prediction based on integrated multi-model fusion. Applied Energy 298, pages 117248.
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Soufiane Gaizen, Ouafia Fadi & Ahmed Abbou. 2021. Digital Technologies and Applications. Digital Technologies and Applications 155 164 .

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