Performance of artificial neural networks in nearshore wave power prediction-Reference-Cited by-同舟云学术

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Performance of artificial neural networks in nearshore wave power prediction

Published:2014-10 Issue: Volume:23 Page:194-201
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Castro A.,Carballo R.,Iglesias G.,Rabuñal J.R.^ORCID

Publisher

Elsevier BV

Subject

Software

Reference40 articles.

1. Characterizing the wave energy resource of the US Pacific Northwest;Lenee-Bluhm;Renew. Energy,2011

2. Hydrodynamic characteristics of a cylindrical bottom-pivoted wave energy absorber;Caska;Ocean Eng.,2008

3. Sea state characterisation of the test site of an offshore wave energy plant;Cruz;Ocean Eng.,2007

4. Wave energy utilization: a review of the technologies;Falcão;Renew. Sustain. Energy Rev.,2010

5. Experimental and numerical investigation of non-predictive phase-control strategies for a point-absorbing wave energy converter;Lopes;Ocean Eng.,2009

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