A neural approach for determination of global energetic efficiency indicator in groundwater wells

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorSaggioro, Nilton Jose-
Autor(es): dc.creatorCagnon, Jose Angelo-
Autor(es): dc.creatorNunes Da Silva, Ivan-
Data de aceite: dc.date.accessioned2025-08-21T19:22:53Z-
Data de disponibilização: dc.date.available2025-08-21T19:22:53Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2002-01-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/224234-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/224234-
Descrição: dc.descriptionIn most of the cases, the systems of water distribution from groundwater wells use electrical submersible pumps. All electrical energy is applied to the pumps; however, other components (pipes, valves, etc.) of these systems are also responsible by the higher or lower consumption of electric energy. The supervisors and operators of the systems should thus have knowledge of the global energetic behavior of the process in order to administrate it properly. This work suggests a 'Global Energetic Efficiency Indicator' for groundwater wells by using mathematical equations and neural networks. Simulation results will be presented in order to demonstrate the validity of the proposed approach.-
Descrição: dc.descriptionState Univ. of Sao Paulo UNESP/FE/DEE, CP 473, CEP 17033-360 Bauru - SP-
Descrição: dc.descriptionState Univ. of Sao Paulo UNESP/FE/DEE, CP 473, CEP 17033-360 Bauru - SP-
Formato: dc.format1258-1262-
Idioma: dc.languageen-
Relação: dc.relationProceedings of the International Joint Conference on Neural Networks-
???dc.source???: dc.sourceScopus-
Título: dc.titleA neural approach for determination of global energetic efficiency indicator in groundwater wells-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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