[HTML][HTML] A review on the progress and research directions of ocean engineering
This paper reviews research in ocean engineering over the last 50+ years with the aim to (I)
understand the technological challenges and evolution in the field,(II) investigate whether …
understand the technological challenges and evolution in the field,(II) investigate whether …
Rogue waves and analogies in optics and oceanography
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 …
and the propagation of light fields in optical fibres. This analogy drove numerous …
A novel model to predict significant wave height based on long short-term memory network
S Fan, N Xiao, S Dong - Ocean Engineering, 2020 - Elsevier
A long short-term memory (LSTM) network is proposed for the quick prediction of significant
wave height with higher accuracy than conventional neural network. The LSTM network is …
wave height with higher accuracy than conventional neural network. The LSTM network is …
Prediction and reconstruction of ocean wave heights based on bathymetric data using LSTM neural networks
C Jörges, C Berkenbrink, B Stumpe - Ocean Engineering, 2021 - Elsevier
Since climate change impacts threaten the coastal regions of the North Sea, consistent sea
state time series are essential for building coastal protection or offshore structures. Vast …
state time series are essential for building coastal protection or offshore structures. Vast …
Physics-informed neural network (PINN) evolution and beyond: A systematic literature review and bibliometric analysis
This research aims to study and assess state-of-the-art physics-informed neural networks
(PINNs) from different researchers' perspectives. The PRISMA framework was used for a …
(PINNs) from different researchers' perspectives. The PRISMA framework was used for a …
[HTML][HTML] A review of machine learning and deep learning applications in wave energy forecasting and WEC optimization
Ocean energy technologies are in their developmental stages, like other renewable energy
sources. To be useable in the energy market, most components of wave energy devices …
sources. To be useable in the energy market, most components of wave energy devices …
[HTML][HTML] Towards carbon Neutrality: Prediction of wave energy based on improved GRU in Maritime transportation
Z Lv, N Wang, R Lou, Y Tian, M Guizani - Applied Energy, 2023 - Elsevier
Efficient use of renewable energy is one of the critical measures to achieve carbon
neutrality. Countries have introduced policies to put carbon neutrality on the agenda to …
neutrality. Countries have introduced policies to put carbon neutrality on the agenda to …
Prediction of significant wave height; comparison between nested grid numerical model, and machine learning models of artificial neural networks, extreme learning …
Estimation of wave height is essential for several coastal engineering applications. This
study advances a nested grid numerical model and compare its efficiency with three …
study advances a nested grid numerical model and compare its efficiency with three …
Application of machine learning in ocean data
R Lou, Z Lv, S Dang, T Su, X Li - Multimedia Systems, 2023 - Springer
In recent years, machine learning has become a hot research method in various fields and
has been applied to every aspect of our life, providing an intelligent solution to problems that …
has been applied to every aspect of our life, providing an intelligent solution to problems that …
[HTML][HTML] A data-driven long-term metocean data forecasting approach for the design of marine renewable energy systems
Abstract The potential of Marine Renewable Energy (MRE) systems is usually evaluated
based on recent metocean data and assuming the stationarity of the MRE resource. Yet …
based on recent metocean data and assuming the stationarity of the MRE resource. Yet …