Reconstruction analysis of blades models of floating offshore wind turbine utilizing genetic algorithm and feedforward neural network-Reference-Cited by-同舟云学术

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Reconstruction analysis of blades models of floating offshore wind turbine utilizing genetic algorithm and feedforward neural network

Published:2024-12 Issue: Volume:153 Page:104205
ISSN:0141-1187
Container-title:Applied Ocean Research
language:en
Short-container-title:Applied Ocean Research

Author:

Wang Yong,Liu Longhui^ORCID,Ma Gang^ORCID,Zhang Hongda,Zhang Jianhua,Qi Le

Publisher

Elsevier BV

Reference32 articles.

1. Low-frequency dynamics of a floating wind turbine in wave tank–scaled experiments with SiL hybrid method;Azcona;Wind Energy,2019

2. The DTU 10-MW reference wind turbine;Bak,2013

3. A hybrid methodology for wind tunnel testing of floating offshore wind turbines;Belloli;Ocean Eng.,2020

4. Assessment of Blade Element Momentum Theory-based engineering models for wind turbine rotors under uniform steady inflow;Boatto;Renew. Energy,2023

5. Numerical modeling of wave basin experiments of a floating wind turbine with active thrust emulation: a discussion of important aspects;Carmo;Ocean Eng.,2024

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