E3S Web Conf.
Volume 51, 20182018 3rd International Conference on Advances on Clean Energy Research (ICACER 2018)
|Number of page(s)||4|
|Section||New Energy Development and Renewable Energy|
|Published online||24 August 2018|
Prediction of the wave power in the Black Sea based on wind speed using artificial neural networks
EMechanical Engineering Department, Engineering Faculty, "Dunarea de Jos" University of Galati, Galati,
Domneasca Street, 111,
* Corresponding author: firstname.lastname@example.org
The paper proposes a prediction methodology for the significant wave height (and implicitly the wave power), based on the artificial neural networks. The proposed approach takes as input data the wind speed values recorded for different time periods. The prediction of significant wave height is useful both for assessment of wave energy as also for marine equipment design and navigation. The data used cover the time interval 1999 to 2007 and it was measured on Gloria drilling unit, which operates in the Romanian nearshore of the Black Sea at about 500 meters depth.
© The authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.