Spatial-Temporal Model for Demand Estimation Due to Appliances with High Energy Consumption

Detalhes bibliográficos
Autor(a) principal: Mejia, M. A. [UNESP]
Data de Publicação: 2017
Outros Autores: Padilha-Feltrin, A. [UNESP], Melo, J. D., Zambrano-Asanza, S., IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/185112
Resumo: The residential load of existing consumers can be increased significantly due to large-scale purchase of household appliances with high-energy consumption; consequently, changing the expansion plans of electrical distribution networks. In this paper, a spatial-temporal model is proposed to estimate the load growth of distribution transformers owed for this kind of electrical appliances. In order to determine the location of inhabitants interested in buying these appliances, the proposed approach includes the socioeconomic characteristics of the consumers in a spatial form. After that, the number of appliances added each year is computed using a logistic regression. The results are the residential load curves of distribution transformers, including the additional yearly demand of the new appliances. These curves provide valuable information regarding the distribution network expansion planning.
id UNSP_ce29f530e75483b4026308bdc1f4f174
oai_identifier_str oai:repositorio.unesp.br:11449/185112
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Spatial-Temporal Model for Demand Estimation Due to Appliances with High Energy Consumptiondistribution network expansion planninggeographic information systemspatial-temporal estimationThe residential load of existing consumers can be increased significantly due to large-scale purchase of household appliances with high-energy consumption; consequently, changing the expansion plans of electrical distribution networks. In this paper, a spatial-temporal model is proposed to estimate the load growth of distribution transformers owed for this kind of electrical appliances. In order to determine the location of inhabitants interested in buying these appliances, the proposed approach includes the socioeconomic characteristics of the consumers in a spatial form. After that, the number of appliances added each year is computed using a logistic regression. The results are the residential load curves of distribution transformers, including the additional yearly demand of the new appliances. These curves provide valuable information regarding the distribution network expansion planning.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Sao Paulo State Univ, UNESP, Dept Elect Engn, Ilha Solteira, BrazilUniv Fed Abc, Fed Univ ABC, Engn Modeling & Appl Social Sci Ctr, CECS, Santo Andre, BrazilCtr Distribut Util, Dept Planning, Cuenca, EcuadorSao Paulo State Univ, UNESP, Dept Elect Engn, Ilha Solteira, BrazilCNPq: 444743/2014-6CNPq: 307281/2016-7FAPESP: 2015/21972-6FAPESP: 2017/01909-3IeeeUniversidade Estadual Paulista (Unesp)Universidade Federal do ABC (UFABC)Ctr Distribut UtilMejia, M. A. [UNESP]Padilha-Feltrin, A. [UNESP]Melo, J. D.Zambrano-Asanza, S.IEEE2019-10-04T12:32:44Z2019-10-04T12:32:44Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject62017 Ieee Pes Innovative Smart Grid Technologies Conference - Latin America (isgt Latin America). New York: Ieee, 6 p., 2017.http://hdl.handle.net/11449/185112WOS:000451380200039Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2017 Ieee Pes Innovative Smart Grid Technologies Conference - Latin America (isgt Latin America)info:eu-repo/semantics/openAccess2024-07-04T19:11:39Zoai:repositorio.unesp.br:11449/185112Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:10:45.181248Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Spatial-Temporal Model for Demand Estimation Due to Appliances with High Energy Consumption
title Spatial-Temporal Model for Demand Estimation Due to Appliances with High Energy Consumption
spellingShingle Spatial-Temporal Model for Demand Estimation Due to Appliances with High Energy Consumption
Mejia, M. A. [UNESP]
distribution network expansion planning
geographic information system
spatial-temporal estimation
title_short Spatial-Temporal Model for Demand Estimation Due to Appliances with High Energy Consumption
title_full Spatial-Temporal Model for Demand Estimation Due to Appliances with High Energy Consumption
title_fullStr Spatial-Temporal Model for Demand Estimation Due to Appliances with High Energy Consumption
title_full_unstemmed Spatial-Temporal Model for Demand Estimation Due to Appliances with High Energy Consumption
title_sort Spatial-Temporal Model for Demand Estimation Due to Appliances with High Energy Consumption
author Mejia, M. A. [UNESP]
author_facet Mejia, M. A. [UNESP]
Padilha-Feltrin, A. [UNESP]
Melo, J. D.
Zambrano-Asanza, S.
IEEE
author_role author
author2 Padilha-Feltrin, A. [UNESP]
Melo, J. D.
Zambrano-Asanza, S.
IEEE
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal do ABC (UFABC)
Ctr Distribut Util
dc.contributor.author.fl_str_mv Mejia, M. A. [UNESP]
Padilha-Feltrin, A. [UNESP]
Melo, J. D.
Zambrano-Asanza, S.
IEEE
dc.subject.por.fl_str_mv distribution network expansion planning
geographic information system
spatial-temporal estimation
topic distribution network expansion planning
geographic information system
spatial-temporal estimation
description The residential load of existing consumers can be increased significantly due to large-scale purchase of household appliances with high-energy consumption; consequently, changing the expansion plans of electrical distribution networks. In this paper, a spatial-temporal model is proposed to estimate the load growth of distribution transformers owed for this kind of electrical appliances. In order to determine the location of inhabitants interested in buying these appliances, the proposed approach includes the socioeconomic characteristics of the consumers in a spatial form. After that, the number of appliances added each year is computed using a logistic regression. The results are the residential load curves of distribution transformers, including the additional yearly demand of the new appliances. These curves provide valuable information regarding the distribution network expansion planning.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
2019-10-04T12:32:44Z
2019-10-04T12:32:44Z
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 2017 Ieee Pes Innovative Smart Grid Technologies Conference - Latin America (isgt Latin America). New York: Ieee, 6 p., 2017.
http://hdl.handle.net/11449/185112
WOS:000451380200039
identifier_str_mv 2017 Ieee Pes Innovative Smart Grid Technologies Conference - Latin America (isgt Latin America). New York: Ieee, 6 p., 2017.
WOS:000451380200039
url http://hdl.handle.net/11449/185112
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2017 Ieee Pes Innovative Smart Grid Technologies Conference - Latin America (isgt Latin America)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 6
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
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_ 1808129029205655552

Registros relacionados