Significant wave height is an average of the largest ocean waves, which are important for
renewable and sustainable energy resource generation. A large significant wave height can …

Accurate wave prediction can help avoid disasters. In this study, the significant wave height
(SWH) prediction performances of the recurrent neural network (RNN), long short-term …

Wind and wave characteristics and their long-term variability in the Black Sea over a period
of 31 years are investigated in this study. The state-of-the art spectral wave model SWAN is …

Accurate significant wave height (Hs) prediction is crucial for marine renewable energy
development. The hybrid models combining multi-resolution analysis techniques such as …

Significant wave height (SWH) forecasting is a key process for offshore and costal
engineering. However, accurate prediction of the SWH is quite challenging due to the …

In order to achieve further understanding of the characteristics of wind waves in the Bohai
Sea, the SWAN (Simulating Waves Nearshore) model is applied to investigate the wave …

This study aimed to evaluate the possible impacts of climate change on the wind power
potential and assign possible stable locations in the Black Sea until the end of the 21st …

In this study, long-term change of wind characteristics on the Black Sea has been
investigated using two widely used data sources, ie, European Centre for Medium-Range …

The long-term variations of wave characteristics in the Black Sea are evaluated by using a
third-generation wave model (Simulating WAves Nearshore, SWAN), forced by the …

The influences of waves and wind–wave correlations on the stochastic buffeting response of
a coastal cable-stayed bridge were studied using the pseudo-excitation method. The mean …