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dc.contributor.author Silva, Ricardo Ezequiel
dc.contributor.author Fagundes, Regiane Slongo
dc.contributor.author Ferruzzi, Yurri
dc.date.accessioned 2017-02-13T20:26:31Z
dc.date.available 2017-02-13T20:26:31Z
dc.date.issued 2010
dc.identifier.citation SILVA, Ricardo Ezequiel; FAGUNDES, Regiane Slongo; FERRUZZIi, Yurri. Computational statistical analysis of the wind and solar potential for electricity generation. Vetor, v. 20, n. 2, p. 82-91, 2010. Disponível em: <https://www.seer.furg.br/vetor/article/view/2067>. Acesso em: 12 dez. 2016. pt_BR
dc.identifier.issn 2358-3452
dc.identifier.uri http://repositorio.furg.br/handle/1/7072
dc.description.abstract This paper describes an application developed through scientific project initiation. The purpose is to provide information to assess the energy potential of renewable energy such as wind and solar radiation. The information submitted by the program is obtained from weather stations that collect data on temperature, wind speed and intensity of solar radiation. The data are processed using statistical techniques that allow summarizing a large volume of measurements. The result is information presented in tables, graphs and reports, which measure the energy output of these alternative sources in electricity generation. pt_BR
dc.language.iso eng pt_BR
dc.publisher EDGRAF pt_BR
dc.rights open access pt_BR
dc.subject Renewable pt_BR
dc.subject Energy pt_BR
dc.subject Electricity pt_BR
dc.title Computational statistical analysis of the wind and solar potential for electricity generation pt_BR
dc.type article pt_BR


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