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 | English |
|---|---|
| Article number | 887 |
| Journal | Energies |
| Volume | 12 |
| Issue number | 5 |
| DOIs | |
| State | Published - 2019 |
Bibliographical note
Funding Information:Acknowledgments: This research was financed by Project FONDECYT 1180685 (Comision Nacional de Investigacion Cientifica y Tecnologica Chile). J.D. thankfully acknowledges funding from Fondo de Ayuda a la Investigacion (FAI), Universidad de los Andes, under grant INV-IN-2017-05.
Funding Information:
This research was funded by FONDECYT grant number 1180685.
Publisher Copyright:
© 2019 by the authors.
Keywords
- Continuous stochastic modeling
- Short-term forecast
- Wave power
