AIBullisharXiv – CS AI · Mar 34/103
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A Tidal Current Speed Forecasting Model based on Multi-Periodicity Learning
Researchers developed a Wavelet-Enhanced Convolutional Network to improve tidal current speed forecasting by learning multi-periodic patterns in tidal data. The model achieved a 10-step average Mean Absolute Error of 0.025, demonstrating at least 1.44% error reduction compared to baseline methods.