Application of the k-means clustering method for the detection and analysis of areas of homogeneous residential electricity consumption at the Great La Plata region, Buenos Aires,...

Autores
Chevez, Pedro Joaquín; Barbero, Dante Andrés; Martini, Irene; Discoli, Carlos Alberto
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This research aims to detect areas of homogeneous residential electric consumption in the Great La Plata, Buenos Aires, Argentina. This study will identify main socio-demographic factors that impact on the electricity demand and the geographical location of these areas of homogeneous electric consumption. Results were analyzed from groups obtained from the six bimestrial electric average consumption of each of the 1010 census radius which constitutes the Great La Plata, using the K-means clustering method. The present methodology becomes a plausible mechanism to use in the construction of urban energy scenarios, more precisely to determine areas with homogeneous consumption that can be described based on certain socio-demographic characteristics in what is called the “base year”. This study allowed to identify eight homogeneous areas of electricity consumption and their associated characteristics such as rooms per home, people per home, percentage of homes with unsatisfied basic needs, gas network coverage, housing typologies and quality of construction. In this way, we were able to obtain valuable information that allows to propose energy efficiency strategies and to incorporate renewable energy alternatives using appropriate criteria for each area in different “policy scenarios”.
Fil: Chevez, Pedro Joaquín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido | Universidad Nacional de Salta. Facultad de Cs.exactas. Departamento de Física. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido; Argentina
Fil: Barbero, Dante Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido | Universidad Nacional de Salta. Facultad de Cs.exactas. Departamento de Física. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido; Argentina
Fil: Martini, Irene. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido | Universidad Nacional de Salta. Facultad de Cs.exactas. Departamento de Física. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido; Argentina
Fil: Discoli, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido | Universidad Nacional de Salta. Facultad de Cs.exactas. Departamento de Física. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido; Argentina
Materia
CLUSTERING METHOD
ELECTRIC CONSUMPTION
HOMOGENEOUS AREAS
HOUSEHOLDS
K-MEANS
SOCIO-DEMOGRAPHIC INFORMATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/56520
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/56520
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Application of the k-means clustering method for the detection and analysis of areas of homogeneous residential electricity consumption at the Great La Plata region, Buenos Aires, ArgentinaChevez, Pedro JoaquínBarbero, Dante AndrésMartini, IreneDiscoli, Carlos AlbertoCLUSTERING METHODELECTRIC CONSUMPTIONHOMOGENEOUS AREASHOUSEHOLDSK-MEANSSOCIO-DEMOGRAPHIC INFORMATIONhttps://purl.org/becyt/ford/2.7https://purl.org/becyt/ford/2This research aims to detect areas of homogeneous residential electric consumption in the Great La Plata, Buenos Aires, Argentina. This study will identify main socio-demographic factors that impact on the electricity demand and the geographical location of these areas of homogeneous electric consumption. Results were analyzed from groups obtained from the six bimestrial electric average consumption of each of the 1010 census radius which constitutes the Great La Plata, using the K-means clustering method. The present methodology becomes a plausible mechanism to use in the construction of urban energy scenarios, more precisely to determine areas with homogeneous consumption that can be described based on certain socio-demographic characteristics in what is called the “base year”. This study allowed to identify eight homogeneous areas of electricity consumption and their associated characteristics such as rooms per home, people per home, percentage of homes with unsatisfied basic needs, gas network coverage, housing typologies and quality of construction. In this way, we were able to obtain valuable information that allows to propose energy efficiency strategies and to incorporate renewable energy alternatives using appropriate criteria for each area in different “policy scenarios”.Fil: Chevez, Pedro Joaquín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido | Universidad Nacional de Salta. Facultad de Cs.exactas. Departamento de Física. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido; ArgentinaFil: Barbero, Dante Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido | Universidad Nacional de Salta. Facultad de Cs.exactas. Departamento de Física. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido; ArgentinaFil: Martini, Irene. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido | Universidad Nacional de Salta. Facultad de Cs.exactas. Departamento de Física. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido; ArgentinaFil: Discoli, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido | Universidad Nacional de Salta. Facultad de Cs.exactas. Departamento de Física. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido; ArgentinaElsevier2017-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/56520Chevez, Pedro Joaquín; Barbero, Dante Andrés; Martini, Irene; Discoli, Carlos Alberto; Application of the k-means clustering method for the detection and analysis of areas of homogeneous residential electricity consumption at the Great La Plata region, Buenos Aires, Argentina; Elsevier; Sustainable Cities and Society; 32; 7-2017; 115-1292210-6707CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.scs.2017.03.019info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2210670716307636info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-12T09:37:10Zoai:ri.conicet.gov.ar:11336/56520instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-11-12 09:37:11.225CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Application of the k-means clustering method for the detection and analysis of areas of homogeneous residential electricity consumption at the Great La Plata region, Buenos Aires, Argentina
title Application of the k-means clustering method for the detection and analysis of areas of homogeneous residential electricity consumption at the Great La Plata region, Buenos Aires, Argentina
spellingShingle Application of the k-means clustering method for the detection and analysis of areas of homogeneous residential electricity consumption at the Great La Plata region, Buenos Aires, Argentina
Chevez, Pedro Joaquín
CLUSTERING METHOD
ELECTRIC CONSUMPTION
HOMOGENEOUS AREAS
HOUSEHOLDS
K-MEANS
SOCIO-DEMOGRAPHIC INFORMATION
title_short Application of the k-means clustering method for the detection and analysis of areas of homogeneous residential electricity consumption at the Great La Plata region, Buenos Aires, Argentina
title_full Application of the k-means clustering method for the detection and analysis of areas of homogeneous residential electricity consumption at the Great La Plata region, Buenos Aires, Argentina
title_fullStr Application of the k-means clustering method for the detection and analysis of areas of homogeneous residential electricity consumption at the Great La Plata region, Buenos Aires, Argentina
title_full_unstemmed Application of the k-means clustering method for the detection and analysis of areas of homogeneous residential electricity consumption at the Great La Plata region, Buenos Aires, Argentina
title_sort Application of the k-means clustering method for the detection and analysis of areas of homogeneous residential electricity consumption at the Great La Plata region, Buenos Aires, Argentina
dc.creator.none.fl_str_mv Chevez, Pedro Joaquín
Barbero, Dante Andrés
Martini, Irene
Discoli, Carlos Alberto
author Chevez, Pedro Joaquín
author_facet Chevez, Pedro Joaquín
Barbero, Dante Andrés
Martini, Irene
Discoli, Carlos Alberto
author_role author
author2 Barbero, Dante Andrés
Martini, Irene
Discoli, Carlos Alberto
author2_role author
author
author
dc.subject.none.fl_str_mv CLUSTERING METHOD
ELECTRIC CONSUMPTION
HOMOGENEOUS AREAS
HOUSEHOLDS
K-MEANS
SOCIO-DEMOGRAPHIC INFORMATION
topic CLUSTERING METHOD
ELECTRIC CONSUMPTION
HOMOGENEOUS AREAS
HOUSEHOLDS
K-MEANS
SOCIO-DEMOGRAPHIC INFORMATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.7
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This research aims to detect areas of homogeneous residential electric consumption in the Great La Plata, Buenos Aires, Argentina. This study will identify main socio-demographic factors that impact on the electricity demand and the geographical location of these areas of homogeneous electric consumption. Results were analyzed from groups obtained from the six bimestrial electric average consumption of each of the 1010 census radius which constitutes the Great La Plata, using the K-means clustering method. The present methodology becomes a plausible mechanism to use in the construction of urban energy scenarios, more precisely to determine areas with homogeneous consumption that can be described based on certain socio-demographic characteristics in what is called the “base year”. This study allowed to identify eight homogeneous areas of electricity consumption and their associated characteristics such as rooms per home, people per home, percentage of homes with unsatisfied basic needs, gas network coverage, housing typologies and quality of construction. In this way, we were able to obtain valuable information that allows to propose energy efficiency strategies and to incorporate renewable energy alternatives using appropriate criteria for each area in different “policy scenarios”.
Fil: Chevez, Pedro Joaquín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido | Universidad Nacional de Salta. Facultad de Cs.exactas. Departamento de Física. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido; Argentina
Fil: Barbero, Dante Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido | Universidad Nacional de Salta. Facultad de Cs.exactas. Departamento de Física. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido; Argentina
Fil: Martini, Irene. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido | Universidad Nacional de Salta. Facultad de Cs.exactas. Departamento de Física. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido; Argentina
Fil: Discoli, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido | Universidad Nacional de Salta. Facultad de Cs.exactas. Departamento de Física. Instituto de Investigaciones En Energia No Convencional. Grupo Vinculado Al Inenco - Instituto de Inv. y Politicas del Ambiente Constituido; Argentina
description This research aims to detect areas of homogeneous residential electric consumption in the Great La Plata, Buenos Aires, Argentina. This study will identify main socio-demographic factors that impact on the electricity demand and the geographical location of these areas of homogeneous electric consumption. Results were analyzed from groups obtained from the six bimestrial electric average consumption of each of the 1010 census radius which constitutes the Great La Plata, using the K-means clustering method. The present methodology becomes a plausible mechanism to use in the construction of urban energy scenarios, more precisely to determine areas with homogeneous consumption that can be described based on certain socio-demographic characteristics in what is called the “base year”. This study allowed to identify eight homogeneous areas of electricity consumption and their associated characteristics such as rooms per home, people per home, percentage of homes with unsatisfied basic needs, gas network coverage, housing typologies and quality of construction. In this way, we were able to obtain valuable information that allows to propose energy efficiency strategies and to incorporate renewable energy alternatives using appropriate criteria for each area in different “policy scenarios”.
publishDate 2017
dc.date.none.fl_str_mv 2017-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/56520
Chevez, Pedro Joaquín; Barbero, Dante Andrés; Martini, Irene; Discoli, Carlos Alberto; Application of the k-means clustering method for the detection and analysis of areas of homogeneous residential electricity consumption at the Great La Plata region, Buenos Aires, Argentina; Elsevier; Sustainable Cities and Society; 32; 7-2017; 115-129
2210-6707
CONICET Digital
CONICET
url http://hdl.handle.net/11336/56520
identifier_str_mv Chevez, Pedro Joaquín; Barbero, Dante Andrés; Martini, Irene; Discoli, Carlos Alberto; Application of the k-means clustering method for the detection and analysis of areas of homogeneous residential electricity consumption at the Great La Plata region, Buenos Aires, Argentina; Elsevier; Sustainable Cities and Society; 32; 7-2017; 115-129
2210-6707
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.scs.2017.03.019
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2210670716307636
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.24909

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