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Deep Learning for Wind Speed Forecasting Using Bi-LSTM with Selected Features被引量：1: 《Intelligent Automation & Soft Computing》2023年第3期3829-3844,共16页Siva Sankari Subbiah Senthil Kumar Paramasivan Karmel Arockiasamy Saminathan Senthivel Muthamilselvan Thangavel; Wind speed forecasting is important for wind energy forecasting.In the modern era,the increase in energy demand can be managed effectively by fore-casting the wind speed accurately.The main objective of this research ...; 关键词：Bi-directional long short term memory boruta feature selection deep learning machine learning wind speed forecasting

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