The motion forecasting study of floating offshore wind turbine using self-attention long short-term memory method-Reference-Cited by-同舟云学术

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The motion forecasting study of floating offshore wind turbine using self-attention long short-term memory method

Published:2024-10 Issue: Volume:310 Page:118709
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Deng Sijia,Ning Dezhi^ORCID,Mayon Robert^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference30 articles.

1. Neural Machine Translation by Jointly Learning to Align and Translate;Bahdanau,2014

2. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling;Bai,2018

3. GWEC Global Wind Report 2023;Council,2023

4. Global offshore wind report 2023;Council;GWEC: Brussels, Belgium,2023

5. Advancing weather predictions for offshore wind farm maintenance through deep learning;Dighe;J. Phys. Conf.,2024

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