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Publicação:
Study of Load Curves Concerning the Influence of Socioeconomic and Cultural Issues

dc.contributor.authorGastaldello, Danilo S.
dc.contributor.authorSouza, Andre N. de [UNESP]
dc.contributor.authorAmaral, Haroldo L. M. do [UNESP]
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.contributor.authorIEEE
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionPolytech Inst Porto
dc.date.accessioned2019-10-03T18:18:40Z
dc.date.available2019-10-03T18:18:40Z
dc.date.issued2014-01-01
dc.description.abstractThe increase of electricity demand in Brazil, the lack of the next major hydroelectric reservoirs implementation, and the growth of environmental concerns lead utilities to seek an improved system planning to meet these energy needs. The great diversity of economic, social, climatic, and cultural conditions in the country have been causing a more difficult planning of the power system. The work presented in this paper concerns the development of an algorithm that aims studying the influence of the issues mentioned in load curves. Focus is given to residential consumers. The consumption device with highest influence in the load curve is also identified. The methodology developed gains increasing importance in the system planning and operation, namely in the smart grids context.en
dc.description.affiliationUniv Sao Paulo, Polytech Sch, Dept Elect Engn, Sao Paulo, Brazil
dc.description.affiliationUNESP Sao Paulo State Univ, Dept Elect Engn, Sao Paulo, Brazil
dc.description.affiliationPolytech Inst Porto, Knowledge Engn & Decis Support Res Ctr, GECAD, Oporto, Portugal
dc.description.affiliationUnespUNESP Sao Paulo State Univ, Dept Elect Engn, Sao Paulo, Brazil
dc.description.sponsorshipEuropean Union
dc.description.sponsorshipFEDER Funds through the Programa Operacional Factores de Competitividade - COMPETE program
dc.description.sponsorshipNational Funds through FCT Fundacao para a Ciencia e a Tecnologia
dc.description.sponsorshipIdEuropean Union: 318912
dc.description.sponsorshipIdNational Funds through FCT Fundacao para a Ciencia e a Tecnologia: FCOMP-01-0124-FEDER: PEst-OE/EEI/UI0760/2014
dc.description.sponsorshipIdNational Funds through FCT Fundacao para a Ciencia e a Tecnologia: PTDC/SEN-ENR/122174/2010
dc.description.sponsorshipIdNational Funds through FCT Fundacao para a Ciencia e a Tecnologia: SFRH/BD/80183/2011
dc.format.extent6
dc.identifier.citation2014 Ieee Pes Innovative Smart Grid Technologies Conference Europe (isgt Europe). New York: Ieee, 6 p., 2014.
dc.identifier.issn2165-4816
dc.identifier.urihttp://hdl.handle.net/11449/183963
dc.identifier.wosWOS:000393467600227
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartof2014 Ieee Pes Innovative Smart Grid Technologies Conference Europe (isgt Europe)
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectConsumption pattern
dc.subjectload curve
dc.subjectplanning
dc.subjectresidential consumer
dc.titleStudy of Load Curves Concerning the Influence of Socioeconomic and Cultural Issuesen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee
dspace.entity.typePublication
unesp.author.lattes8212775960494686[2]
unesp.author.orcid0000-0002-4560-9544[5]
unesp.author.orcid0000-0002-8617-5404[2]

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