Sheng Xu Dong

Machine-learning-improved tide–wave simulations and joint extreme analysis for wave energy assessment in the Taiwan Strait

High-accuracy environmental characterization is essential for reliable mooring system design and safety assessment of wave energy converters (WECs). This study employed the Finite-Volume Community Ocean Model (FVCOM) and Simulating Waves Nearshore (SWAN) to simulate tidal and wav...

A sliding EOF-based deep learning framework for spatiotemporal forecasting of wind and wave fields

Accurate wind and wave field forecasting is important for offshore operations and coastal disaster prevention. This study develops a spatiotemporal forecasting framework that couples sliding empirical orthogonal function (EOF) decomposition with deep learning. The proposed slidin...