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

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

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

dc.contributor.author	Shi, Wei
dc.contributor.author	Hu, Lehan
dc.contributor.author	Lin, Zaibin
dc.contributor.author	Zhang, Lixian
dc.contributor.author	Wu, Jun
dc.contributor.author	Chai, Wei
dc.contributor.institution	University of Aberdeen.Engineering	en
dc.date.accessioned	2024-08-12T10:51:01Z
dc.date.available	2024-08-12T10:51:01Z
dc.date.issued	2023-07-15
dc.description.status	Peer reviewed	en
dc.format.extent	24
dc.format.extent	16405210
dc.identifier	291714708
dc.identifier	cc0668d0-7a24-482a-aea2-fa08ae1066a0
dc.identifier	85154600182
dc.identifier.citation	Shi, W, Hu, L, Lin, Z, Zhang, L, Wu, J & Chai, W 2023, 'Short-term motion prediction of floating offshore wind turbine based on muti-input LSTM neural network', Ocean Engineering, vol. 280, 114558. https://doi.org/10.1016/j.oceaneng.2023.114558	en
dc.identifier.doi	10.1016/j.oceaneng.2023.114558
dc.identifier.issn	0029-8018
dc.identifier.other	ORCID: /0000-0002-6502-8149/work/163806619
dc.identifier.uri	https://hdl.handle.net/2164/24011
dc.identifier.url	http://dx.doi.org/10.1016/j.oceaneng.2023.114558	en
dc.identifier.vol	280	en
dc.language.iso	eng
dc.relation.ispartof	Ocean Engineering	en
dc.subject	Floating offshore wind turbine	en
dc.subject	Deep learning	en
dc.subject	Response prediction	en
dc.subject	Multi-input LSTM model	en
dc.subject	Second-order hydrodynamic	en
dc.subject	TA Engineering (General). Civil engineering (General)	en
dc.subject.lcc	TA	en
dc.title	Short-term motion prediction of floating offshore wind turbine based on muti-input LSTM neural network	en
dc.type	Journal article	en

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