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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.fieldofresearchPhysical sciences
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchBuilt environment and design
dc.subject.fieldofresearchcode51
dc.subject.fieldofresearchcode40
dc.subject.fieldofresearchcode33
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.


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