[HTML][HTML] Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment
Currently, a significant effort in the world research panorama is focused on finding efficient
solutions to a carbon-free energy supply, wave energy being one of the most promising …
solutions to a carbon-free energy supply, wave energy being one of the most promising …
[HTML][HTML] Uncertainties in the application of artificial neural networks in ocean engineering
NP Juan, C Matutano, VN Valdecantos - Ocean Engineering, 2023 - Elsevier
Abstract Artificial Neural Networks (ANNs) are becoming more popular to model ocean
engineering problems. With the development of Artificial Intelligence, data-driven models …
engineering problems. With the development of Artificial Intelligence, data-driven models …
Designing a multi-stage expert system for daily ocean wave energy forecasting: A multivariate data decomposition-based approach
Accurate forecasting of the wave energy is crucial and has significant potential because
every wave meter possesses an energy amount ranging from 30 to 40 kW along the shore …
every wave meter possesses an energy amount ranging from 30 to 40 kW along the shore …
Layout study of wave energy converter arrays by an artificial neural network and adaptive genetic algorithm
K Zhu, H Shi, M Han, F Cao - Ocean Engineering, 2022 - Elsevier
In this paper, the influence of the spatial configuration of a wave energy converter (WEC)
array upon total power output is investigated. A power prediction model has been proposed …
array upon total power output is investigated. A power prediction model has been proposed …
[HTML][HTML] Ocean energy applications for coastal communities with artificial intelligencea state-of-the-art review
Y Zhou - Energy and AI, 2022 - Elsevier
Ocean energy plays essential roles in reducing carbon emission and transforming towards
carbon neutrality, with cleaner power production, whereas the vertical cascade ocean …
carbon neutrality, with cleaner power production, whereas the vertical cascade ocean …
Maximization of energy absorption for a wave energy converter using the deep machine learning
A controller is usually used to maximize the energy absorption of wave energy converter.
Despite the development of various control strategies, the practical implementation of wave …
Despite the development of various control strategies, the practical implementation of wave …
[HTML][HTML] Towards real-time reinforcement learning control of a wave energy converter
The levellised cost of energy of wave energy converters (WECs) is not competitive with fossil
fuel-powered stations yet. To improve the feasibility of wave energy, it is necessary to …
fuel-powered stations yet. To improve the feasibility of wave energy, it is necessary to …
Developing a novel hybrid Auto Encoder Decoder Bidirectional Gated Recurrent Unit model enhanced with empirical wavelet transform and Boruta-Catboost to …
Major emphasis presently being made is on using and optimizing more sustainable and
renewable energy resources to tackle the upcoming energy demand challenges and …
renewable energy resources to tackle the upcoming energy demand challenges and …
Predicting heave and surge motions of a semi-submersible with neural networks
Real-time motion prediction of a vessel or a floating platform can help to improve the
performance of motion compensation systems. It can also provide useful early-warning …
performance of motion compensation systems. It can also provide useful early-warning …
[HTML][HTML] Modeling of a hinged-raft wave energy converter via deep operator learning and wave tank experiments
Abstract Model identification for a hinged-raft wave energy converter (WEC) is investigated
in this paper, based on wave tank experiments and deep operator learning. Different from …
in this paper, based on wave tank experiments and deep operator learning. Different from …