Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/327392
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.identifier.isbnpt_BR
dc.contributor.authoremailamle@dtu.dkpt_BR
dc.contributor.authorunicampDias, Ronaldopt_BR
dc.contributor.authorunicampGarcia, Nancy Lopespt_BR
dc.typeArtigopt_BR
dc.titleAnalysis Of Aggregated Functional Data From Mixed Populations With Application To Energy Consumptionen
dc.titleAnalysis of aggregated functional data from mixed populations with application to energy consumptionpt_BR
dc.contributor.authorLenzi, Amandapt_BR
dc.contributor.authorSouza, Camila P. E. dept_BR
dc.contributor.authorDias, Ronaldopt_BR
dc.contributor.authorGarcia, Nancy L.pt_BR
dc.contributor.authorHeckman, Nancy E.pt_BR
unicamp.authorGarcia, Nancy L.] Univ Estadual Campinas, Campinas, Brazilpt_BR
unicamp.author.external[Lenzi, Amanda] Tech Univ Denmark, DK-2800 Lyngby, Denmarkpt_BR
unicamp.author.external[de Souza, Camila P. E.pt_BR
unicamp.author.externalHeckman, Nancy E.] Univ British Columbia, Vancouver, BC V5Z 1M9, Canadapt_BR
unicamp.author.external[Dias, Ronaldopt_BR
dc.subjectB-splinesen
dc.subjectNonparametric Regressionen
dc.subjectRandom Effectsen
dc.subjectSmoothingen
dc.subjectSpline, Teoria dopt_BR
dc.subjectAnálise de regressãopt_BR
dc.subjectEstatística não paramétricapt_BR
dc.subjectVariáveis aleatóriaspt_BR
dc.subjectEnergia elétrica - Consumopt_BR
dc.subject.otherlanguageSpline theorypt_BR
dc.subject.otherlanguageRegression analysispt_BR
dc.subject.otherlanguageNonparametric statisticspt_BR
dc.subject.otherlanguageRandom variablespt_BR
dc.subject.otherlanguageElectric power consumptionpt_BR
dc.description.abstractUnderstanding energy consumption patterns of different types of consumers is essential in any planning of energy distribution. However, obtaining individual-level consumption information is often either not possible or too expensive. Therefore, we consider data from aggregations of energy use, that is, from sums of individuals' energy use, where each individual falls into one of C consumer classes. Unfortunately, the exact number of individuals of each class may be unknown due to inaccuracies in consumer registration or irregularities in consumption patterns. We develop a methodology to estimate both the expected energy use of each class as a function of time and the true number of consumers in each class. To accomplish this, we use B-splines to model both the expected consumption and the individual-level random effects. We treat the reported numbers of consumers in each category as random variables with distribution depending on the true number of consumers in each class and on the probabilities of a consumer in one class reporting as another class. We obtain maximum likelihood estimates of all parameters via a maximization algorithm. We introduce a special numerical trick for calculating the maximum likelihood estimates of the true number of consumers in each class. We apply our method to a data set and study our method via simulation.en
dc.description.abstractUnderstanding energy consumption patterns of different types of consumers is essential in any planning of energy distribution. However, obtaining individual-level consumption information is often either not possible or too expensive. Therefore, we considept_BR
dc.relation.ispartofEnvironmetricspt_BR
dc.publisher.cityOxfordpt_BR
dc.publisher.countryReino Unidopt_BR
dc.publisherJohn Wiley & Sonspt_BR
dc.date.issued2017pt_BR
dc.date.monthofcirculationmarpt_BR
dc.identifier.citationEnvironmetrics. Wiley-blackwell, v. 28, p. , 2017.pt_BR
dc.language.isoengpt_BR
dc.description.volume28pt_BR
dc.description.issuenumber2pt_BR
dc.description.issuesupplementpt_BR
dc.description.issuepartpt_BR
dc.description.issuespecialpt_BR
dc.description.firstpage1pt_BR
dc.description.lastpage14pt_BR
dc.rightsfechadopt_BR
dc.rightsfechadopt_br
dc.sourceWOSpt_BR
dc.identifier.issn1180-4009pt_BR
dc.identifier.eissn1099-095Xpt_BR
dc.identifier.wosidWOS:000397270000002pt_BR
dc.identifier.doi10.1002/env.2414pt_BR
dc.identifier.urlhttp://onlinelibrary.wiley.com/doi/10.1002/env.2414/pt_BR
dc.description.sponsorshipCNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOpt_BR
dc.description.sponsorshipFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOpt_BR
dc.description.sponsorshipCAPES - COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL E NÍVEL SUPERIORpt_BR
dc.description.sponsorship1Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt_BR
dc.description.sponsorship1Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)pt_BR
dc.description.sponsorship1Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)pt_BR
dc.description.sponsordocumentnumber442012/2014-4, 3025981/2014-6, 476476/2013-5, 302956/2013-1pt_BR
dc.description.sponsordocumentnumber2014/26419-0, 2014/26414-9, 2013/07375-0pt_BR
dc.description.sponsordocumentnumbersem informaçãopt_BR
dc.date.available2017-11-13T13:15:41Z-
dc.date.accessioned2017-11-13T13:15:41Z-
dc.description.provenanceMade available in DSpace on 2017-11-13T13:15:41Z (GMT). No. of bitstreams: 1 000397270000002.pdf: 1298888 bytes, checksum: 4a98a9bb822c9fe774427fbc0a27a4a5 (MD5) Previous issue date: 2017 Bitstreams deleted on 2021-01-04T14:26:14Z: 000397270000002.pdf,. Added 1 bitstream(s) on 2021-01-04T14:27:18Z : No. of bitstreams: 1 000397270000002.pdf: 995695 bytes, checksum: e66b64511ac499c4fb02990e7fae3ed3 (MD5)en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/327392-
dc.description.conferencenomept_BR
dc.contributor.departmentDepartamento de Estatísticapt_BR
dc.contributor.departmentDepartamento de Estatísticapt_BR
dc.contributor.unidadeInstituto de Matemática, Estatística e Computação Científicapt_BR
dc.contributor.unidadeInstituto de Matemática, Estatística e Computação Científicapt_BR
dc.subject.keywordB-splinespt_BR
dc.subject.keywordRandom effectspt_BR
dc.subject.keywordNonparametric regressionpt_BR
dc.subject.keywordSmoothingpt_BR
dc.identifier.source000397270000002pt_BR
dc.creator.orcid0000-0002-0436-1159pt_BR
dc.creator.orcid0000-0002-4594-3761pt_BR
dc.type.formArtigopt_BR
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