Computational intelligence in wave energy: Comprehensive review and case study
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 …
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 …
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 …
Develo** 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 …
many Prognostics and Health Management (PHM) applications. Inevitably, the further one …
[HTML][HTML] 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 …
ANNs are a very effective/useful tool in the fight against climate change. High capacity of …
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 …
Statistical models have advantages in short-term wave prediction as complex phenomena …
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 …
engineering and scientific phenomena. However, due to the complicated and chaotic nature …
Hindcasting of wave parameters using different soft computing methods
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 …
engineering and is generally made with the help of sophisticated numerical models. This …
Forecasting of extreme storm tide events using NARX neural network-based models
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 …
meteorological causes, as well as by the conformation of the sea basin. One place where …
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 …
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
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 …
significant wave heights were investigated. The data set used in this study is comprised of 5 …