Study of load curves concerning the influence of socioeconomic and cultural issues

Detalhes bibliográficos
Autor(a) principal: Gastaldello, Danilo S.
Data de Publicação: 2015
Outros Autores: De Souza, Andre N. [UNESP], Do Amaral, Haroldo L. M. [UNESP], Faria, Pedro, Vale, Zita
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ISGTEurope.2014.7028957
http://hdl.handle.net/11449/167902
Resumo: The increase of electricity demand in Brazil, the lack of the next major hydroelectric reservoirs implementation, and the growth of environmental concerns lead utilities to seek an improved system planning to meet these energy needs. The great diversity of economic, social, climatic, and cultural conditions in the country have been causing a more difficult planning of the power system. The work presented in this paper concerns the development of an algorithm that aims studying the influence of the issues mentioned in load curves. Focus is given to residential consumers. The consumption device with highest influence in the load curve is also identified. The methodology developed gains increasing importance in the system planning and operation, namely in the smart grids context.
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spelling Study of load curves concerning the influence of socioeconomic and cultural issuesConsumption patternload curveplanningresidential consumerThe increase of electricity demand in Brazil, the lack of the next major hydroelectric reservoirs implementation, and the growth of environmental concerns lead utilities to seek an improved system planning to meet these energy needs. The great diversity of economic, social, climatic, and cultural conditions in the country have been causing a more difficult planning of the power system. The work presented in this paper concerns the development of an algorithm that aims studying the influence of the issues mentioned in load curves. Focus is given to residential consumers. The consumption device with highest influence in the load curve is also identified. The methodology developed gains increasing importance in the system planning and operation, namely in the smart grids context.USP - University of São Paulo, Department of Electrical Engineering, Polytechnic SchoolUNESP - São Paulo State University, Department of Electrical EngineeringGECAD, Knowledge Engineering and Decision Support Research Center - IPP, Polytechnic Institute of PortoUNESP - São Paulo State University, Department of Electrical EngineeringUniversidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)GECAD, Knowledge Engineering and Decision Support Research Center - IPP, Polytechnic Institute of PortoGastaldello, Danilo S.De Souza, Andre N. [UNESP]Do Amaral, Haroldo L. M. [UNESP]Faria, PedroVale, Zita2018-12-11T16:38:48Z2018-12-11T16:38:48Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ISGTEurope.2014.7028957IEEE PES Innovative Smart Grid Technologies Conference Europe, v. 2015-January, n. January, 2015.http://hdl.handle.net/11449/16790210.1109/ISGTEurope.2014.70289572-s2.0-84936971108Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE PES Innovative Smart Grid Technologies Conference Europeinfo:eu-repo/semantics/openAccess2021-10-23T21:47:00Zoai:repositorio.unesp.br:11449/167902Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:35:26.857163Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Study of load curves concerning the influence of socioeconomic and cultural issues
title Study of load curves concerning the influence of socioeconomic and cultural issues
spellingShingle Study of load curves concerning the influence of socioeconomic and cultural issues
Gastaldello, Danilo S.
Consumption pattern
load curve
planning
residential consumer
title_short Study of load curves concerning the influence of socioeconomic and cultural issues
title_full Study of load curves concerning the influence of socioeconomic and cultural issues
title_fullStr Study of load curves concerning the influence of socioeconomic and cultural issues
title_full_unstemmed Study of load curves concerning the influence of socioeconomic and cultural issues
title_sort Study of load curves concerning the influence of socioeconomic and cultural issues
author Gastaldello, Danilo S.
author_facet Gastaldello, Danilo S.
De Souza, Andre N. [UNESP]
Do Amaral, Haroldo L. M. [UNESP]
Faria, Pedro
Vale, Zita
author_role author
author2 De Souza, Andre N. [UNESP]
Do Amaral, Haroldo L. M. [UNESP]
Faria, Pedro
Vale, Zita
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
GECAD, Knowledge Engineering and Decision Support Research Center - IPP, Polytechnic Institute of Porto
dc.contributor.author.fl_str_mv Gastaldello, Danilo S.
De Souza, Andre N. [UNESP]
Do Amaral, Haroldo L. M. [UNESP]
Faria, Pedro
Vale, Zita
dc.subject.por.fl_str_mv Consumption pattern
load curve
planning
residential consumer
topic Consumption pattern
load curve
planning
residential consumer
description The increase of electricity demand in Brazil, the lack of the next major hydroelectric reservoirs implementation, and the growth of environmental concerns lead utilities to seek an improved system planning to meet these energy needs. The great diversity of economic, social, climatic, and cultural conditions in the country have been causing a more difficult planning of the power system. The work presented in this paper concerns the development of an algorithm that aims studying the influence of the issues mentioned in load curves. Focus is given to residential consumers. The consumption device with highest influence in the load curve is also identified. The methodology developed gains increasing importance in the system planning and operation, namely in the smart grids context.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01
2018-12-11T16:38:48Z
2018-12-11T16:38:48Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/ISGTEurope.2014.7028957
IEEE PES Innovative Smart Grid Technologies Conference Europe, v. 2015-January, n. January, 2015.
http://hdl.handle.net/11449/167902
10.1109/ISGTEurope.2014.7028957
2-s2.0-84936971108
url http://dx.doi.org/10.1109/ISGTEurope.2014.7028957
http://hdl.handle.net/11449/167902
identifier_str_mv IEEE PES Innovative Smart Grid Technologies Conference Europe, v. 2015-January, n. January, 2015.
10.1109/ISGTEurope.2014.7028957
2-s2.0-84936971108
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv IEEE PES Innovative Smart Grid Technologies Conference Europe
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128675147677696

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