Repository logo
 
Publication

Typical load profiles in the smart grid context – a clustering methods comparison

dc.contributor.authorRamos, Sérgio
dc.contributor.authorDuarte, João
dc.contributor.authorSoares, João
dc.contributor.authorVale, Zita
dc.contributor.authorDuarte, Jorge
dc.date.accessioned2013-05-03T11:51:53Z
dc.date.available2013-05-03T11:51:53Z
dc.date.issued2012
dc.date.updated2013-04-11T14:41:46Z
dc.description.abstractThe present research paper presents five different clustering methods to identify typical load profiles of medium voltage (MV) electricity consumers. These methods are intended to be used in a smart grid environment to extract useful knowledge about customer’s behaviour. The obtained knowledge can be used to support a decision tool, not only for utilities but also for consumers. Load profiles can be used by the utilities to identify the aspects that cause system load peaks and enable the development of specific contracts with their customers. The framework presented throughout the paper consists in several steps, namely the pre-processing data phase, clustering algorithms application and the evaluation of the quality of the partition, which is supported by cluster validity indices. The process ends with the analysis of the discovered knowledge. To validate the proposed framework, a case study with a real database of 208 MV consumers is used.por
dc.identifier.doi10.1109/PESGM.2012.6345565pt_PT
dc.identifier.isbn978-1-4673-2727-5
dc.identifier.urihttp://hdl.handle.net/10400.22/1511
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6345565por
dc.subjectClusteringpor
dc.subjectData miningpor
dc.subjectLoad profilespor
dc.subjectSmart gridpor
dc.titleTypical load profiles in the smart grid context – a clustering methods comparisonpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceSan Diego CA, USA, 2012.por
oaire.citation.titleIEEE Power and Energy Society General Meeting (PES GM 2012)por
person.familyNameCarvalho Ramos
person.familyNameSoares
person.familyNameVale
person.givenNameSérgio Filipe
person.givenNameJoão
person.givenNameZita
person.identifier1043580
person.identifier632184
person.identifier.ciencia-id6D1F-C495-6660
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-1120-5656
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id7004115775
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationf01a54a0-e6c0-4cf3-afd8-5a664bbac7b4
relation.isAuthorOfPublication9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscovery9ece308b-6d79-4cec-af91-f2278dcc47eb

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
COM_SergioRamos_2012_GECAD.pdf
Size:
641.51 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: