Short-term motion prediction of floating offshore wind turbine based on muti-input LSTM neural network-Reference-Cited by-同舟云学术

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Short-term motion prediction of floating offshore wind turbine based on muti-input LSTM neural network

Published:2023-07 Issue: Volume:280 Page:114558
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Shi Wei^ORCID,Hu Lehan^ORCID,Lin Zaibin^ORCID,Zhang Lixian,Wu Jun,Chai Wei^ORCID

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference32 articles.

1. Neural machine translation by jointly learning to align and translate;Bahdanau;Comp. Sci.,2014

2. Prediction of dynamic mooring responses of a floating wind turbine using an artificial neural network;Bjørni;IOP Conf. Ser. Mater. Sci. Eng.,2021

3. Learning phrase representations using RNN encoder-decoder for statistical machine translation;Cho;Comp. Sci.,2014

4. The current situation and latest research of deep-sea floating wind turbine;Gao;Eng. Sci.,2014

5. Supervised sequence labelling with recurrent neural networks;Graves;Stud. Comput. Intell.,2013

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