[HTML][HTML] Phase-resolved real-time ocean wave prediction with quantified uncertainty based on variational Bayesian machine learning

J Zhang, X Zhao, S Jin, D Greaves - Applied Energy, 2022 - Elsevier
Phase-resolved wave prediction is of vital importance for the real-time control of wave
energy converters. In this paper, a novel wave prediction method is proposed, which, to the …

Real-time phase-resolved ocean wave prediction in directional wave fields: Enhanced algorithm and experimental validation

IC Kim, G Ducrozet, F Bonnefoy, V Leroy, Y Perignon - Ocean Engineering, 2023 - Elsevier
This paper details a comprehensive study of deterministic real-time wave forecasting in
directional seas. By using wave models on the basis of a Lagrangian description, a good …

Decomposition and prediction of initial uniform bi-directional water waves using an array of wave-rider buoys

T Iida - Renewable Energy, 2023 - Elsevier
Prediction of incident waves to Wave Energy Converters (WEC) is essential to maximize the
energy absorption by controlling the WEC. Nevertheless, little work has been done on the …

Analytical solution of impulse response function of finite-depth water waves

T Iida, M Minoura - Ocean Engineering, 2022 - Elsevier
Short-term deterministic water wave prediction is of great importance to the operations of
ships and offshore structures. The use of the convolution integral of input wave profiles and …

Nonlinear model predictive dynamic positioning of a remotely operated vehicle with wave disturbance preview

KL Walker, LB Jordan… - … International Journal of …, 2024 - journals.sagepub.com
Exploiting preview information of disturbances within robot control is an effective method of
handling state perturbations. For underwater vehicles operating in wave-dominated …

Deterministic wave forecasting with the Zakharov equation

R Stuhlmeier, M Stiassnie - Journal of Fluid Mechanics, 2021 - cambridge.org
This study investigates deterministic wave forecasting from the perspective of the Zakharov
equation. Forecasts based on linear dispersion, weakly nonlinear amplitude dispersion and …

[HTML][HTML] Sea surface reconstruction from marine radar images using deep convolutional neural networks

M Zhao, Y Zheng, Z Lin - Journal of Ocean Engineering and Science, 2023 - Elsevier
The sea surface reconstructed from radar images provides valuable information for marine
operations and maritime transport. The standard reconstruction method relies on the three …

Disturbance Preview for Non-Linear Model Predictive Trajectory Tracking of Underwater Vehicles in Wave Dominated Environments

KL Walker, F Giorgio-Serchi - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
Operating in the near-vicinity of marine energy devices poses significant challenges to the
control of underwater vehicles, predominantly due to the presence of large magnitude wave …

Deterministic sea wave prediction based on least squares with regularization algorithm using coherent microwave radar

C Zhang, Z Chen, C Zhao, X Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Deterministic sea wave prediction (DSWP), which aims to predict instantaneous elevation of
the ocean surface, can facilitate the safe implementation of many wave height limited …

Wave-by-wave forecasts in directional seas using nonlinear dispersion corrections

E Meisner, M Galvagno, D Andrade, D Liberzon… - Physics of …, 2023 - pubs.aip.org
We develop a new methodology for the deterministic forecasting of directional ocean surface
waves based on nonlinear frequency corrections. These frequency corrections can be pre …