Quaternion convolutional long short-term memory neural model with an adaptive decomposition method for wind speed forecasting: North aegean islands case studies

Neshat, M

Nezhad, MM Mirjalili, S Piras, G Garcia, DA

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Field	Value	Language
dc.contributor.author	Neshat, M https://orcid.org/0000-0002-9537-9513
dc.contributor.author	Nezhad, MM
dc.contributor.author	Mirjalili, S
dc.contributor.author	Piras, G
dc.contributor.author	Garcia, DA
dc.date.accessioned	2023-06-25T04:26:23Z
dc.date.available	2023-06-25T04:26:23Z
dc.date.issued	2022-05
dc.identifier.citation	Energy Conversion and Management, 2022, 259, pp. 115590
dc.identifier.issn	0196-8904
dc.identifier.uri	http://hdl.handle.net/10453/170863
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Energy Conversion and Management
dc.relation.isbasedon	10.1016/j.enconman.2022.115590
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0906 Electrical and Electronic Engineering, 0913 Mechanical Engineering
dc.subject.classification	Energy
dc.title	Quaternion convolutional long short-term memory neural model with an adaptive decomposition method for wind speed forecasting: North aegean islands case studies
dc.type	Journal Article
utslib.citation.volume	259
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0913 Mechanical Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2023-06-25T04:26:19Z
pubs.publication-status	Published
pubs.volume	259

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