Real-Time Sea State Estimation for Wave Energy Converter Control via Machine Learning

Real-Time Sea State Estimation for Wave Energy Converter Control via Machine Learning

Wave energy converters (WECs) harness the untapped power of ocean waves to generate renewable energy, offering a promising solution to sustainable energy. An optimal WEC control strategy is essential to maximize power capture that dynamically adjusts system parameters in response to rapidly changing...

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Bibliographic Details
Main Authors: Tanvir Alam Shifat, Ryan Coe, Gioegio Bacelli, Ted Brekken
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
wave energy converter (WEC)
sea state estimation
machine learning
PIDcontrol
Online Access:https://www.mdpi.com/2076-3417/15/10/5772
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