[HTML][HTML] A data-driven long-term metocean data forecasting approach for the design of marine renewable energy systems

M Penalba, JI Aizpurua, A Martinez-Perurena… - … and Sustainable Energy …, 2022 - Elsevier
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 …

Ocean wind and wave measurements using X-band marine radar: A comprehensive review

W Huang, X Liu, EW Gill - Remote sensing, 2017 - mdpi.com
Ocean wind and wave parameters can be measured by in-situ sensors such as
anemometers and buoys. Since the 1980s, X-band marine radar has evolved as one of the …

Dynamic ensemble deep echo state network for significant wave height forecasting

R Gao, R Li, M Hu, PN Suganthan, KF Yuen - Applied Energy, 2023 - Elsevier
Forecasts of the wave heights can assist in the data-driven control of wave energy systems.
However, the dynamic properties and extreme fluctuations of the historical observations …

[HTML][HTML] Real-time digital twin for ship operation in waves

JH Lee, YS Nam, Y Kim, Y Liu, J Lee, H Yang - Ocean Engineering, 2022 - Elsevier
This paper introduces a real-time digital twin for ship operations in seaways. The concept of
the digital twin is becoming popular, and it is adopted for ship operation systems in this …

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 …

A novel hybrid model based on STL decomposition and one-dimensional convolutional neural networks with positional encoding for significant wave height forecast

S Yang, Z Deng, X Li, C Zheng, L Xi, J Zhuang… - Renewable Energy, 2021 - Elsevier
Reducing the dependence on fossil fuels and utilizing the renewable energy have become
essential due to the global resource exhaustion and unfriendly environmental impact from …

Ocean remote sensing techniques and applications: A review (part i)

M Amani, A Moghimi, SM Mirmazloumi, B Ranjgar… - Water, 2022 - mdpi.com
Oceans cover over 70% of the Earth's surface and provide numerous services to humans
and the environment. Therefore, it is crucial to monitor these valuable assets using …

Short-term probabilistic prediction of significant wave height using bayesian model averaging: Case study of chabahar port, Iran

RM Adnan, T Sadeghifar, M Alizamir, MT Azad… - Ocean …, 2023 - Elsevier
Accurate predictions of significant wave heights are important for a number of maritime
applications, such as design of coastal and offshore structures. In the present study, an …

Regional ocean wave height prediction using sequential learning neural networks

R Savitha, A Al Mamun - Ocean Engineering, 2017 - Elsevier
Wave height prediction is a critical factor in the efficient operation of many offshore and
coastal engineering activities. The classical numerical solutions to this problem, based on …

Ocean wave height prediction using ensemble of extreme learning machine

NK Kumar, R Savitha, A Al Mamun - Neurocomputing, 2018 - Elsevier
The intense increase in offshore operational activities warrants periodical and accurate
prediction of the wave characteristics. Usually, complex numerical models that require high …