Multi-lead-time short-term runoff forecasting based on Ensemble Attention Temporal Convolutional Network

Zhang, C Sheng, Z Zhang, C Wen, S

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Field	Value	Language
dc.contributor.author	Zhang, C
dc.contributor.author	Sheng, Z
dc.contributor.author	Zhang, C
dc.contributor.author	Wen, S https://orcid.org/0000-0001-8077-7001
dc.date.accessioned	2024-01-16T21:00:51Z
dc.date.available	2024-01-16T21:00:51Z
dc.date.issued	2024-06
dc.identifier.citation	Expert Systems with Applications, 2024, 243, pp. 122935
dc.identifier.issn	0957-4174
dc.identifier.uri	http://hdl.handle.net/10453/174607
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Expert Systems with Applications
dc.relation.isbasedon	10.1016/j.eswa.2023.122935
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	01 Mathematical Sciences, 08 Information and Computing Sciences, 09 Engineering
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Multi-lead-time short-term runoff forecasting based on Ensemble Attention Temporal Convolutional Network
dc.type	Journal Article
utslib.citation.volume	243
utslib.for	01 Mathematical Sciences
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	closed_access	*
dc.date.updated	2024-01-16T21:00:49Z
pubs.publication-status	Accepted
pubs.volume	243

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