Neural network survivability approach of a wave energy converter considering uncertainties in the prediction of future knowledge-Reference-Cited by-同舟云学术

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Neural network survivability approach of a wave energy converter considering uncertainties in the prediction of future knowledge

Published:2024-07 Issue: Volume:228 Page:120662
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Shahroozi Zahra^ORCID,Göteman Malin^ORCID,Engström Jens

Funder

Swedish Research Council

Stand Up for Energy

Swedish Energy Agency

Publisher

Elsevier BV

Reference48 articles.

1. Wave energy resource characterization and assessment for coastal waters of the United States;Ahn;Appl. Energy,2020

2. Fatigue analysis of a point-absorber wave energy converter based on augmented data from a WEC-Sim model calibrated with experimental data;Shahroozi;Trends Renew. Energ. Offshore,2022

3. Wave prediction using wave rider position measurements and NARX network in wave energy conversion;Desouky;Appl. Ocean Res.,2019

4. Short-term wave forecasting for real-time control of wave energy converters;Fusco;IEEE Trans. Sustain. Energy,2010

5. Real time estimation and prediction of wave excitation forces on a heaving body;Ling,2015

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