[HTML][HTML] An FMI-based co-simulation framework for simulations of wave energy converter systems
A wave energy converter (WEC) comprises many components with distinct functions. The
whole WEC system is complicated, as each component is also a complex subsystem. It is …
whole WEC system is complicated, as each component is also a complex subsystem. It is …
High efficiency and wideband wave energy capture of a bistable wave energy converter with a displacement amplifier
Ocean wave energy is a kind of renewable energy with huge reserves, which can play an
important role in the future construction of smart oceans. The low capture efficiency and …
important role in the future construction of smart oceans. The low capture efficiency and …
[HTML][HTML] Meta Wave Learner: Predicting wave farms power output using effective meta-learner deep gradient boosting model: A case study from Australian coasts
Precise prediction of wave energy is indispensable and holds immense promise as ocean
waves have a power capacity of 30–40 kW/m along the coast. Utilising this energy source …
waves have a power capacity of 30–40 kW/m along the coast. Utilising this energy source …
Achieving optimum power extraction of wave energy converters through tunable mechanical components
Wave energy converters (WECs) play a significant role in harnessing the vast potential of
marine renewable energy. To enhance the power extraction of WECs, it is necessary but …
marine renewable energy. To enhance the power extraction of WECs, it is necessary but …
Environmental-Sensing and adaptive optimization of wave energy converter based on deep reinforcement learning and computational fluid dynamics
H Liang, H Qin, H Su, Z Wen, L Mu - Energy, 2024 - Elsevier
This paper introduces a novel coupled model for real-time control of the point absorber wave
energy converter (WEC) using parallelized deep reinforcement learning (DRL), where the …
energy converter (WEC) using parallelized deep reinforcement learning (DRL), where the …
[PDF][PDF] meta-learner deep gradient boosting model: A case study from Australian coasts
Precise prediction of wave energy is indispensable and holds immense promise as ocean
waves have a power capacity of 30–40 kW/m along the coast. Utilising this energy source …
waves have a power capacity of 30–40 kW/m along the coast. Utilising this energy source …
[HTML][HTML] Data-driven modelling of wave–structure interaction for a moored floating structure
We present a data-driven nonlinear model for predicting the motions and loads of a moored
floating structure in waves, which is a challenging problem in offshore hydrodynamics that …
floating structure in waves, which is a challenging problem in offshore hydrodynamics that …
Multiple-input operator network prediction method for nonlinear wave energy converter
Q Zhang, H Zhang, X Zhao, J Ding, D Xu - Ocean Engineering, 2025 - Elsevier
The prediction of wave energy converter (WEC) performance is crucial for guiding optimal
design and active control. The traditional model-based prediction method requires strict …
design and active control. The traditional model-based prediction method requires strict …
Electric power prediction of a two-body hinge-barge wave energy converter using machine learning techniques
LG Wang, CW Wen, SX Wu, S Wu - Ocean Engineering, 2024 - Elsevier
Investigating the electric power generated by wave energy converters (WECs) has attracted
increasing attention along with the developments of wave energy converting technologies in …
increasing attention along with the developments of wave energy converting technologies in …
Predicting the subcutaneous temperature in cryolipolysis using deep operator networks
S Gao, X Wang, Y Wang, Y Zhao, M Gong - Thermal Science and …, 2024 - Elsevier
Accurate monitoring of subcutaneous temperature is crucial for the safety and efficacy of
cryolipolysis. However, existing measurement and simulation methods often require trade …
cryolipolysis. However, existing measurement and simulation methods often require trade …