Publicação: Estimation of photovoltaic potential on residential rooftops using empirical Bayesian estimator
dc.contributor.author | Villavicencio, J. [UNESP] | |
dc.contributor.author | Melo, J. D. [UNESP] | |
dc.contributor.author | Feltrin, A. Padilha [UNESP] | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2018-12-11T16:42:20Z | |
dc.date.available | 2018-12-11T16:42:20Z | |
dc.date.issued | 2016-01-12 | |
dc.description.abstract | Assessment of the photovoltaic generation potential on rooftops residential homes is performed by the calculation of the available areas for the installation of solar panels. However, socioeconomic factors could limit this installation for some people. Thus, this paper presents a methodology to estimate the photovoltaic potential using installation rates subject to the socioeconomic characteristics. The installation rates represent the preferences of the inhabitants to install this energy source and are calculated using global and local empirical Bayesian estimators. The result of the proposed methodology is a thematic map that allows the visualization of the spatial distribution of installation rates to identify regions with higher preference values, consequently, location of the greater photovoltaic electricity generation potential. | en |
dc.description.affiliation | Departamento de Engenharia Elétrica Universidade Estadual Paulista - UNESP | |
dc.description.affiliationUnesp | Departamento de Engenharia Elétrica Universidade Estadual Paulista - UNESP | |
dc.description.sponsorship | Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) | |
dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
dc.description.sponsorship | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
dc.description.sponsorshipId | FAPESP: 2014/06629-0 | |
dc.description.sponsorshipId | CNPq: 303817/2012-7 | |
dc.description.sponsorshipId | CNPq: 444743/2014-6 | |
dc.format.extent | 242-247 | |
dc.identifier | http://dx.doi.org/10.1109/ISGT-LA.2015.7381161 | |
dc.identifier.citation | 2015 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT LATAM 2015, p. 242-247. | |
dc.identifier.doi | 10.1109/ISGT-LA.2015.7381161 | |
dc.identifier.scopus | 2-s2.0-84966649868 | |
dc.identifier.uri | http://hdl.handle.net/11449/168646 | |
dc.language.iso | eng | |
dc.relation.ispartof | 2015 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT LATAM 2015 | |
dc.rights.accessRights | Acesso aberto | |
dc.source | Scopus | |
dc.subject | electrical distribution systems | |
dc.subject | Empirical Bayesian estimators | |
dc.subject | photovoltaic systems | |
dc.title | Estimation of photovoltaic potential on residential rooftops using empirical Bayesian estimator | en |
dc.type | Trabalho apresentado em evento | |
dspace.entity.type | Publication | |
unesp.author.lattes | 3886842168147059[3] | |
unesp.author.orcid | 0000-0001-6495-440X[3] |