Over a decade ago, an analogy was drawn between the generation of large ocean waves
and the propagation of light fields in optical fibres. This analogy drove numerous …

The use of renewable energy to reduce the effects of climate change and global warming
has become an increasing trend. In order to improve the prediction ability of renewable …

A hybrid model is proposed for the short-term online prediction of tidal currents. The
harmonic residual analysis (HRA) model is designed to augment the numerical schemes …

Abstract Machine learning (ML)-based techniques have found significant impact in many
fields of engineering and sciences, where data-sets are available from experiments and …

Accurately predicting total sea-level including tides and storm surges is key to protecting and
managing our coastal environment. However, dynamically forecasting sea level extremes is …

Real-time prediction of tidal level is vital for on-the-spot activities such as marine
transportation and ocean surveys. Aiming at the complex characteristics of nonlinearity, time …

Accurate and reliable tidal current forecasting plays a key role in application of grid-
connected tidal current power generation systems. Hence, a novel tidal current prediction …

The prediction of ocean currents is essential for the path planning and control of
Autonomous Underwater Vehicles. Regional physics-based forecast models provide valid …

Ocean current (OC) prediction plays an important role for carrying out ocean-related
activities. There are plenty of studies for OC prediction with deep learning to pursue better …

Predicting fast tidal currents can be a challenging task. Unlike tidal water levels, currents can
vary sharply over short distances. The classical approach of harmonic analysis can analyze …