Computational intelligence in wave energy: Comprehensive review and case study

L Cuadra, S Salcedo-Sanz, JC Nieto-Borge… - … and Sustainable Energy …, 2016 - Elsevier
Wind-generated wave energy is a renewable energy source that exhibits a huge potential
for sustainable growth. The design and deployment of wave energy converters at a given …

A hybrid EMD-LSTM model for non-stationary wave prediction in offshore China

W Hao, X Sun, C Wang, H Chen, L Huang - Ocean Engineering, 2022 - Elsevier
Accurate wave forecasts provide vital safety guarantees for marine operations of ships. The
difficulty in the study of ocean wave forecasting is that ocean waves have non-linear and …

A long-term prediction approach based on long short-term memory neural networks with automatic parameter optimization by Tree-structured Parzen Estimator and …

HP Nguyen, J Liu, E Zio - Applied Soft Computing, 2020 - Elsevier
Developing an accurate and reliable multi-step ahead prediction model is a key problem in
many Prognostics and Health Management (PHM) applications. Inevitably, the further one …

A hybrid EMD-SVR model for the short-term prediction of significant wave height

WY Duan, Y Han, LM Huang, BB Zhao, MH Wang - Ocean Engineering, 2016 - Elsevier
Short-term prediction of ocean waves is critical in oceanic operation-related activities.
Statistical models have advantages in short-term wave prediction as complex phenomena …

Analysis of Neural Networks Used by Artificial Intelligence in the Energy Transition with Renewable Energies

ÍM Iglesias-Sanfeliz Cubero, A Meana-Fernández… - Applied Sciences, 2023 - mdpi.com
Highlights The application of different types of RNA is very effective in the energy transition.
ANNs are a very effective/useful tool in the fight against climate change. High capacity of …

Improving prediction performance of significant wave height via hybrid SVD-Fuzzy model

A Çelik - Ocean Engineering, 2022 - Elsevier
Significant wave height forecasting is an important aspect of many ocean related
engineering and scientific phenomena. However, due to the complicated and chaotic nature …

[HTML][HTML] Forecasting of extreme storm tide events using NARX neural network-based models

F Di Nunno, F Granata, R Gargano, G de Marinis - Atmosphere, 2021 - mdpi.com
The extreme values of high tides are generally caused by a combination of astronomical and
meteorological causes, as well as by the conformation of the sea basin. One place where …

Hindcasting of wave parameters using different soft computing methods

J Mahjoobi, A Etemad-Shahidi… - Applied Ocean …, 2008 - Elsevier
Hindcasting of wave parameters is necessary for many applications in coastal and offshore
engineering and is generally made with the help of sophisticated numerical models. This …

Development of a 2-D deep learning regional wave field forecast model based on convolutional neural network and the application in South China Sea

G Bai, Z Wang, X Zhu, Y Feng - Applied Ocean Research, 2022 - Elsevier
Currently, the methods of wave prediction based on deep learning theory primarily focus on
single-point wave prediction; however, two-dimensional (2-D) wave field prediction can help …

An alternative approach for the prediction of significant wave heights based on classification and regression trees

J Mahjoobi, A Etemad-Shahidi - Applied Ocean Research, 2008 - Elsevier
In this study, the performances of classification and regression trees for the prediction of
significant wave heights were investigated. The data set used in this study is comprised of 5 …