Review on deep learning research and applications in wind and wave energy
Wind energy and wave energy are considered to have enormous potential as renewable
energy sources in the energy system to make great contributions in transitioning from fossil …
energy sources in the energy system to make great contributions in transitioning from fossil …
[HTML][HTML] Statistical modelling of the ocean environment–A review of recent developments in theory and applications
Probabilistic modelling and statistical analysis of environmental conditions is important for
the design and assessment of ships and other marine structures. It will give a necessary …
the design and assessment of ships and other marine structures. It will give a necessary …
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 …
Designing a multi-stage expert system for daily ocean wave energy forecasting: A multivariate data decomposition-based approach
Accurate forecasting of the wave energy is crucial and has significant potential because
every wave meter possesses an energy amount ranging from 30 to 40 kW along the shore …
every wave meter possesses an energy amount ranging from 30 to 40 kW along the shore …
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 …
Ocean wave energy forecasting using optimised deep learning neural networks
PMR Bento, JAN Pombo, RPG Mendes, MRA Calado… - Ocean …, 2021 - Elsevier
Ocean renewable energy is a promising inexhaustible source of renewable energy, with an
estimated harnessing potential of approximately 337 GW worldwide, which could re-shape …
estimated harnessing potential of approximately 337 GW worldwide, which could re-shape …
Machine learning prediction of wave characteristics: Comparison between semi-empirical approaches and DT model
Prediction of wave characteristics plays a crucial role in design and performance
assessment of various coastal projects. The computational complexity and time-consuming …
assessment of various coastal projects. The computational complexity and time-consuming …
Forecasting tropical cyclones wave height using bidirectional gated recurrent unit
A bidirectional Gated recurrent units (BiGRU) network is proposed for the prediction of wave
height during tropical cyclones (TC). We used a data set of 28 TC events collected from 14 …
height during tropical cyclones (TC). We used a data set of 28 TC events collected from 14 …
A wavelet-particle swarm optimization-extreme learning machine hybrid modeling for significant wave height prediction
Predictions of Significant wave height (Hs) of oceans is highly required in advance for
coastal and ocean engineering applications. Therefore, this study aims to precisely predict …
coastal and ocean engineering applications. Therefore, this study aims to precisely predict …