Long-Short Term Memory Based TALOS Wave Energy Converter Power Output Prediction with Numerical Modelling

Wu, Yueqi and Sheng, Wanan and Taylor, C. James and Aggidis, George and Ma, Xiandong (2023) Long-Short Term Memory Based TALOS Wave Energy Converter Power Output Prediction with Numerical Modelling. In: The 33rd International Ocean and Polar Engineering Conference, Ottawa, Canada, June 2023 : ISOPE 2023. ISOPE, pp. 657-662. ISBN 9781880653807

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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), which 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.