Frequency-aware forecasting for short-term typhoon gust prediction
WDANet, a frequency-aware forecasting framework that integrates stationary wavelet decomposition, a Feature-wise Linear Modulation strategy, and a dual-branch encoder-decoder architecture, enabling separate modeling of trend and fluctuation components is proposed, highlighting its potential for offshore wind power operation, disaster warning, and risk mitigation.
Xue-Fei Wang, Tingting Liu, Heng Zhang et al.
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