TALOS Wave Energy Converter Power Output Prediction Analysis Based on a Machine Learning Approach

Wu, Yueqi and Sheng, Wanan and Taylor, James and Aggidis, George and Ma, Xiandong (2024) TALOS Wave Energy Converter Power Output Prediction Analysis Based on a Machine Learning Approach. International Journal of Offshore and Polar Engineering, 34 (3): ISOPE-24-3. 306–313. ISSN 1053-5381

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Abstract

Wave energy shows potential to provide electricity in a renewable manner. The TALOS WEC (Wave Energy Converter) is a unique design with six PTO (Power Take-Off) elements to provide six degrees of freedom (DOFs). It is potentially able to harvest energy more efficiently than traditional single-DOF devices. As a step towards its optimisation and control, a power prediction model is developed, using the wave elevation and motions of the WEC to predict the power output of each PTO. The results show that using LSTM (Long-Short Term Memory) has a higher prediction accuracy than the other approaches considered.