Ocean wave energy converters: Status and challenges
T Aderinto, H Li - Energies, 2018 - mdpi.com
Wave energy is substantial as a resource, and its potential to significantly contribute to the
existing energy mix has been identified. However, the commercial utilization of wave energy …
existing energy mix has been identified. However, the commercial utilization of wave energy …
Multi-step forecasting of ocean wave height using gate recurrent unit networks with multivariate time series
X Li, J Cao, J Guo, C Liu, W Wang, Z Jia, T Su - Ocean Engineering, 2022 - Elsevier
Ocean wave height is an essential parameter for ocean engineering construction, planning
decisions, and coastal hazards assessment. Long-term, accurate, and reliable ocean wave …
decisions, and coastal hazards assessment. Long-term, accurate, and reliable ocean wave …
Prediction of seasonal maximum wave height for unevenly spaced time series by Black Widow Optimization algorithm
S Memar, A Mahdavi-Meymand, W Sulisz - Marine Structures, 2021 - Elsevier
The present study aimed to predict the maximum seasonal wave height by new integrative
data driven methods. For this purpose, two data-driven techniques, that are, the Adaptive …
data driven methods. For this purpose, two data-driven techniques, that are, the Adaptive …
Rain detection from X-band marine radar images: A support vector machine-based approach
Since rain alters the histogram pattern of radar images, rain-contaminated radar data can be
identified. In this article, a support vector machine (SVM)-based method for rain detection …
identified. In this article, a support vector machine (SVM)-based method for rain detection …
Real-time significant wave height estimation from raw ocean images based on 2D and 3D deep neural networks
The fuel costs, which constitute the highest proportion of sailing costs, vary considerably
depending on ocean condition although ships sail on the same route. Among various ocean …
depending on ocean condition although ships sail on the same route. Among various ocean …
Bayesian optimization of a hybrid system for robust ocean wave features prediction
L Cornejo-Bueno, EC Garrido-Merchán… - Neurocomputing, 2018 - Elsevier
In the last years, Bayesian optimization (BO) has emerged as a practical tool for high-quality
parameter selection in prediction systems. BO methods are useful for optimizing black-box …
parameter selection in prediction systems. BO methods are useful for optimizing black-box …
Spatial–temporal convolutional gated recurrent unit network for significant wave height estimation from shipborne marine radar data
Spatial–temporal features are extracted from X-band marine radar backscatter image
sequences via deep neural networks to estimate sea surface significant wave heights …
sequences via deep neural networks to estimate sea surface significant wave heights …
[HTML][HTML] A deep hybrid network for significant wave height estimation
The influence of weather conditions on sea state, and in particular on the dynamic evolution
of waves, is an important issue that affects several areas, including maritime traffic and the …
of waves, is an important issue that affects several areas, including maritime traffic and the …
Wave height estimation from X-band nautical radar images using temporal convolutional network
In this article, a temporal convolutional network (TCN)-based model is proposed to retrieve
significant wave height () from X-band nautical radar images. Three types of features are first …
significant wave height () from X-band nautical radar images. Three types of features are first …
Significant wave height measured by coherent X-band radar
R Carrasco, J Horstmann… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Significant wave height is one of the most important parameters for characterizing ocean
waves and essential for coastal protection, shipping, as well as off shore industry operations …
waves and essential for coastal protection, shipping, as well as off shore industry operations …