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Forecasting the Future with Future Technologies: Advancements in Large Meteorological Models
The field of meteorological forecasting has undergone a significant transformation with the integration of large models, especially those employing deep learning techniques.
Multi-Step Short-Term Wind Speed Prediction with Rank Pooling and Fast Fourier Transformation
In this paper, we present a novel deep hybrid model for multi-step wind speed prediction, namely LR-FFT-RP-MLP/LSTM (Linear Fast Fourier Transformation Rank Pooling Multiple-Layer Perception/Long Short-Term Memory).
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