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Hybrid Deep Learning-Based Model for Wind Speed Forecasting Based on DWPT and Bidirectional LSTM Network

Accurate wind speed forecasting is essential for the reliability and security of the power system, and optimal operation and management of wind integrated smart grids. However, it is still a challenging task due to the highly uncertain and volatile nature of wind speed. Accordingly, in this work, a...

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Váldodahkkit: Amirhossein Dolatabadi, Hussein Abdeltawab, Yasser Abdel-Rady I. Mohamed
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: IEEE 2020-01-01
Ráidu:IEEE Access
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Liŋkkat:https://ieeexplore.ieee.org/document/9306756/
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