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- W4313502529 abstract "This paper proposes to utilise an innovative transformation KDE (Kernel Density Estimation) method in order to more accurately calculate the sea state parameter distribution tails and to extrapolate well. This transformation KDE method is applied in predicting the probability distribution tails of a measured ocean wave dataset at National Data Buoy Center Station 51101, and its accuracy has been verified through comparisons with the prediction results via the parametric method. Next, the transformation KDE method is utilised for deriving an accurate 50-year environmental contour line based on the aforementioned measured wave dataset. The derived environmental contour line and some other contour lines obtained using parametric contour approaches are then applied for predicting the 50-year design PTO (Power-Take-Off) force values for a point absorber Wave Energy Converter (WEC). It is concluded that the predicted 50-year design PTO force value based on the proposed transformation KDE contour is more accurate." @default.
- W4313502529 created "2023-01-06" @default.
- W4313502529 creator A5071856474 @default.
- W4313502529 date "2022-12-21" @default.
- W4313502529 modified "2023-09-27" @default.
- W4313502529 title "A novel transformation kernel density estimation method for predicting design force values of wave energy converters" @default.
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- W4313502529 doi "https://doi.org/10.1080/17445302.2022.2159197" @default.
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