A dynamic stochastic hybrid model to represent significant wave height and wave period for marine energy representation

Humberto Verdejo; Almendra Awerkin; Wolfgang Kliemann; Cristhian Becker; Héctor Chávez; Karina A. Barbosa; José Delpiano

doi:10.3390/en12050887

A dynamic stochastic hybrid model to represent significant wave height and wave period for marine energy representation

Humberto Verdejo, Almendra Awerkin, Wolfgang Kliemann, Cristhian Becker, Héctor Chávez, Karina A. Barbosa, José Delpiano

Ingeniería Civil Eléctrica

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	American English
Journal	Energies
Volume	12
Issue number	5
DOIs	https://doi.org/10.3390/en12050887
State	Published - 1 Jan 2019

Keywords

Continuous stochastic modeling
Short-term forecast
Wave power

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title = "A dynamic stochastic hybrid model to represent significant wave height and wave period for marine energy representation",

abstract = "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.",

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AU - Verdejo, Humberto

AU - Awerkin, Almendra

AU - Kliemann, Wolfgang

AU - Becker, Cristhian

AU - Chávez, Héctor

AU - Barbosa, Karina A.

AU - Delpiano, José

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