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dc.contributor.authorBennett, Christopher
dc.contributor.authorStewart, Rodney A
dc.contributor.authorLu, Junwei
dc.date.accessioned2017-05-03T15:30:26Z
dc.date.available2017-05-03T15:30:26Z
dc.date.issued2014
dc.date.modified2014-09-24T05:00:07Z
dc.identifier.issn1996-1073
dc.identifier.doi10.3390/en7052938
dc.identifier.urihttp://hdl.handle.net/10072/62047
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent2120338 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherMDPI
dc.publisher.placeSwitzerland
dc.relation.ispartofstudentpublicationY
dc.relation.ispartofpagefrom2938
dc.relation.ispartofpageto2960
dc.relation.ispartofissue5
dc.relation.ispartofjournalEnergies
dc.relation.ispartofvolume7
dc.rights.retentionY
dc.subject.fieldofresearchPower and Energy Systems Engineering (excl. Renewable Power)
dc.subject.fieldofresearchPhysical Sciences
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchcode090607
dc.subject.fieldofresearchcode02
dc.subject.fieldofresearchcode09
dc.titleAutoregressive with Exogenous Variables and Neural Network Short-Term Load Forecast Models for Residential Low Voltage Distribution Networks
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttp://creativecommons.org/licenses/by/3.0/
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.rights.copyright© 2014 by the authors; licensee MDPI, author. This is an Open Access article distributed under the terms of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
gro.date.issued2014
gro.hasfulltextFull Text
gro.griffith.authorLu, Junwei
gro.griffith.authorStewart, Rodney A.
gro.griffith.authorBennett, Christopher J.


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