[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 …

Deterministic wave prediction for unidirectional sea-states in real-time using Artificial Neural Network

YZ Law, H Santo, KY Lim, ES Chan - Ocean Engineering, 2020 - Elsevier
Short-term deterministic wave prediction has gained increasing interest recently. This paper
presents a framework on the use of data-driven model based on Artificial Neural Network …

On the deterministic prediction of water waves

M Klein, M Dudek, GF Clauss, S Ehlers, J Behrendt… - Fluids, 2020 - mdpi.com
This paper discusses the potential of deterministic wave prediction as one basic module for
decision support of offshore operations. Therefore, methods of different complexity—the …

[HTML][HTML] Phase-resolved real-time forecasting of three-dimensional ocean waves via machine learning and wave tank experiments

R Li, J Zhang, X Zhao, D Wang, M Hann, D Greaves - Applied Energy, 2023 - Elsevier
Accurate prediction of ocean waves plays an essential role in many ocean engineering
applications, such as the control of wave energy converters and floating wind turbines …

[HTML][HTML] Wave-by-wave prediction for spread seas using a machine learning model with physical understanding

J Chen, PH Taylor, IA Milne, D Gunawan, W Zhao - Ocean Engineering, 2023 - Elsevier
Accurate surface wave predictions have the potential to greatly enhance the safety and
efficiency of many offshore applications, such as active control of wave energy converters …

Wave-by-wave prediction in weakly nonlinear and narrowly spread seas using fixed-point surface-elevation time histories

T Hlophe, H Wolgamot, PH Taylor, A Kurniawan… - Applied Ocean …, 2022 - Elsevier
The development of accurate, real-time predictive models for weakly nonlinear
multidirectional wave fields would enable a significant reduction in the cost of wave energy …

Phase-resolved wave prediction with linear wave theory and physics-informed neural networks

Y Liu, X Zhang, Q Dong, G Chen, X Li - Applied Energy, 2024 - Elsevier
Deterministic wave elevation prediction is crucial for improving the power generation
efficiency of offshore energy structures (OESs). Although phase-resolved wave models may …

Predictable zone for phase-resolved reconstruction and forecast of irregular waves

Y Qi, G Wu, Y Liu, DKP Yue - Wave Motion, 2018 - Elsevier
Our interest is the phase-resolved reconstruction and forecast of multidirectional irregular
gravity wave fields based on specific wave measurements. We consider the theoretical …

Experimental and numerical assessment of deterministic nonlinear ocean waves prediction algorithms using non-uniformly sampled wave gauges

N Desmars, F Bonnefoy, ST Grilli, G Ducrozet… - Ocean …, 2020 - Elsevier
We assess the capability of fast wave models to deterministically predict nonlinear ocean
surface waves from non-uniformly distributed data such as sampled from an optical ocean …

[HTML][HTML] Forward prediction of surface wave elevations and motions of offshore floating structures using a data-driven model

J Chen, I Milne, PH Taylor, D Gunawan, W Zhao - Ocean Engineering, 2023 - Elsevier
Accurate predictions of surface waves and subsequent wave-induced vessel motion have
the potential to improve safety and efficiency for a wide range of offshore operations, such as …