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.author | IEEE | |
| dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
| dc.date.accessioned | 2018-11-26T17:24:23Z | |
| dc.date.available | 2018-11-26T17:24:23Z | |
| dc.date.issued | 2015-01-01 | |
| 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 | Univ Estadual Paulista UNESP, Dept Engn Eletr, Ilha Solteira, Brazil | |
| dc.description.affiliationUnesp | Univ Estadual Paulista UNESP, Dept Engn Eletr, Ilha Solteira, Brazil | |
| 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.citation | 2015 Ieee Pes Innovative Smart Grid Technologies Latin America (isgt Latam). New York: Ieee, p. 242-247, 2015. | |
| dc.identifier.uri | http://hdl.handle.net/11449/162667 | |
| dc.identifier.wos | WOS:000398603600044 | |
| dc.language.iso | eng | |
| dc.publisher | Ieee | |
| dc.relation.ispartof | 2015 Ieee Pes Innovative Smart Grid Technologies Latin America (isgt Latam) | |
| dc.rights.accessRights | Acesso aberto | |
| dc.source | Web of Science | |
| dc.subject | Empirical Bayesian estimators | |
| dc.subject | photovoltaic systems | |
| dc.subject | electrical distribution systems | |
| dc.title | Estimation of Photovoltaic Potential on Residential Rooftops Using Empirical Bayesian Estimator | en |
| dc.type | Trabalho apresentado em evento | |
| dcterms.license | http://www.ieee.org/publications_standards/publications/rights/rights_policies.html | |
| dcterms.rightsHolder | Ieee | |
| unesp.author.lattes | 3886842168147059[3] | |
| unesp.author.orcid | 0000-0001-6495-440X[3] | |
| unesp.department | Engenharia Elétrica - FEIS | pt |