Resumen
This paper presents a methodology to represent ocean wave power generation based on real data observation for significant wave height (SWH or H s ) and wave period (WP or T). This technique is based on a hybrid model, which considers Fourier series and stochastic differential equations, allowing a continuous time representation of the random changes in the parameters associated with wave power generation (H s and T). The methodology is explained, including estimation methods and a validation procedure. The data series generated by the models erre used to create simulated wave power output applying a transformed matrix and a theoretical model. The results validate the utilization of this technique, when the objective is to obtain a robust dynamic representation of a random process, oriented to linear studies.
Idioma original | Inglés |
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Número de artículo | 887 |
Publicación | Energies |
Volumen | 12 |
N.º | 5 |
DOI | |
Estado | Publicada - 2019 |
Nota bibliográfica
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