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  • 标题:Prediction of the wave power in the Black Sea based on wind speed using artificial neural networks
  • 本地全文:下载
  • 作者:Sorin Ciortan ; Eugen Rusu
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2018
  • 卷号:51
  • 页码:1006-1009
  • DOI:10.1051/e3scconf/20185101006
  • 出版社:EDP Sciences
  • 摘要: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.
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