Trend analyses of electricity load changes in Brazil due to COVID-19 shutdowns
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/handle/123456789/54960 https://doi.org/10.1016/j.epsr.2020.107009 |
Resumo: | This study aims to calculate and assess the electricity load trends for Brazil and its geographic regions, considering the changes due to the COVID-19 pandemic. Statistical trends were evaluated by the Joinpoint software, and the analysis comprehended the period between January 1 and September 29, 2020. Daily load data were grouped into weeks, with the calculation of weekly percentage changes considering a 95% confidence interval and p<0.05. The weekly electricity loads were compared in the periods before and after physical distancing decrees were enforced in Brazil (March 15, 2020). The decreases were different across the regions: the South subsystem presented the highest drop, with -19% when comparing the medians before and after implementation of the physical distancing measures. The Southeast and Northeast regions accompanied the decline, with decreases of -15% and -14% , respectively. The North region, however, has almost returned to initial levels, with a decrement of -3% |
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Souza, Dyego Leandro Bezerra deDelgado, Danielle Bandeira de MelloLima, Karollyne Marques deCancela, Marianna de CamargoSiqueira, Camila Alves dos SantosCarvalho, Monicahttps://orcid.org/0000-0001-8426-31202023-10-10T17:18:36Z2023-10-10T17:18:36Z2020SOUZA, Dyego Leandro Bezerra de; DELGADO, Danielle Bandeira de Mello; LIMA, Karollyne Marques de; CANCELA, Marianna de Camargo; SIQUEIRA, Camila Alves dos Santos; CARVALHO, Monica. Trend analyses of electricity load changes in Brazil due to COVID-19 shutdowns. Electric Power Systems Research, [S.L.], v. 193, p. 107009, abr. 2021. Elsevier BV. http://dx.doi.org/10.1016/j.epsr.2020.107009. Disponível em: https://www.sciencedirect.com/science/article/pii/S0378779620308075?via%3Dihub. Acesso em: 08 set. 2023.https://repositorio.ufrn.br/handle/123456789/54960https://doi.org/10.1016/j.epsr.2020.107009Elsevierpandemicelectricityenergy sectorTrend analyses of electricity load changes in Brazil due to COVID-19 shutdownsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleThis study aims to calculate and assess the electricity load trends for Brazil and its geographic regions, considering the changes due to the COVID-19 pandemic. Statistical trends were evaluated by the Joinpoint software, and the analysis comprehended the period between January 1 and September 29, 2020. Daily load data were grouped into weeks, with the calculation of weekly percentage changes considering a 95% confidence interval and p<0.05. The weekly electricity loads were compared in the periods before and after physical distancing decrees were enforced in Brazil (March 15, 2020). The decreases were different across the regions: the South subsystem presented the highest drop, with -19% when comparing the medians before and after implementation of the physical distancing measures. The Southeast and Northeast regions accompanied the decline, with decreases of -15% and -14% , respectively. The North region, however, has almost returned to initial levels, with a decrement of -3%engreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNinfo:eu-repo/semantics/openAccessLICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/54960/2/license.txte9597aa2854d128fd968be5edc8a28d9MD52123456789/549602023-10-10 14:18:46.03oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2023-10-10T17:18:46Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.pt_BR.fl_str_mv |
Trend analyses of electricity load changes in Brazil due to COVID-19 shutdowns |
title |
Trend analyses of electricity load changes in Brazil due to COVID-19 shutdowns |
spellingShingle |
Trend analyses of electricity load changes in Brazil due to COVID-19 shutdowns Souza, Dyego Leandro Bezerra de pandemic electricity energy sector |
title_short |
Trend analyses of electricity load changes in Brazil due to COVID-19 shutdowns |
title_full |
Trend analyses of electricity load changes in Brazil due to COVID-19 shutdowns |
title_fullStr |
Trend analyses of electricity load changes in Brazil due to COVID-19 shutdowns |
title_full_unstemmed |
Trend analyses of electricity load changes in Brazil due to COVID-19 shutdowns |
title_sort |
Trend analyses of electricity load changes in Brazil due to COVID-19 shutdowns |
author |
Souza, Dyego Leandro Bezerra de |
author_facet |
Souza, Dyego Leandro Bezerra de Delgado, Danielle Bandeira de Mello Lima, Karollyne Marques de Cancela, Marianna de Camargo Siqueira, Camila Alves dos Santos Carvalho, Monica |
author_role |
author |
author2 |
Delgado, Danielle Bandeira de Mello Lima, Karollyne Marques de Cancela, Marianna de Camargo Siqueira, Camila Alves dos Santos Carvalho, Monica |
author2_role |
author author author author author |
dc.contributor.authorID.pt_BR.fl_str_mv |
https://orcid.org/0000-0001-8426-3120 |
dc.contributor.author.fl_str_mv |
Souza, Dyego Leandro Bezerra de Delgado, Danielle Bandeira de Mello Lima, Karollyne Marques de Cancela, Marianna de Camargo Siqueira, Camila Alves dos Santos Carvalho, Monica |
dc.subject.por.fl_str_mv |
pandemic electricity energy sector |
topic |
pandemic electricity energy sector |
description |
This study aims to calculate and assess the electricity load trends for Brazil and its geographic regions, considering the changes due to the COVID-19 pandemic. Statistical trends were evaluated by the Joinpoint software, and the analysis comprehended the period between January 1 and September 29, 2020. Daily load data were grouped into weeks, with the calculation of weekly percentage changes considering a 95% confidence interval and p<0.05. The weekly electricity loads were compared in the periods before and after physical distancing decrees were enforced in Brazil (March 15, 2020). The decreases were different across the regions: the South subsystem presented the highest drop, with -19% when comparing the medians before and after implementation of the physical distancing measures. The Southeast and Northeast regions accompanied the decline, with decreases of -15% and -14% , respectively. The North region, however, has almost returned to initial levels, with a decrement of -3% |
publishDate |
2020 |
dc.date.issued.fl_str_mv |
2020 |
dc.date.accessioned.fl_str_mv |
2023-10-10T17:18:36Z |
dc.date.available.fl_str_mv |
2023-10-10T17:18:36Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
SOUZA, Dyego Leandro Bezerra de; DELGADO, Danielle Bandeira de Mello; LIMA, Karollyne Marques de; CANCELA, Marianna de Camargo; SIQUEIRA, Camila Alves dos Santos; CARVALHO, Monica. Trend analyses of electricity load changes in Brazil due to COVID-19 shutdowns. Electric Power Systems Research, [S.L.], v. 193, p. 107009, abr. 2021. Elsevier BV. http://dx.doi.org/10.1016/j.epsr.2020.107009. Disponível em: https://www.sciencedirect.com/science/article/pii/S0378779620308075?via%3Dihub. Acesso em: 08 set. 2023. |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/handle/123456789/54960 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1016/j.epsr.2020.107009 |
identifier_str_mv |
SOUZA, Dyego Leandro Bezerra de; DELGADO, Danielle Bandeira de Mello; LIMA, Karollyne Marques de; CANCELA, Marianna de Camargo; SIQUEIRA, Camila Alves dos Santos; CARVALHO, Monica. Trend analyses of electricity load changes in Brazil due to COVID-19 shutdowns. Electric Power Systems Research, [S.L.], v. 193, p. 107009, abr. 2021. Elsevier BV. http://dx.doi.org/10.1016/j.epsr.2020.107009. Disponível em: https://www.sciencedirect.com/science/article/pii/S0378779620308075?via%3Dihub. Acesso em: 08 set. 2023. |
url |
https://repositorio.ufrn.br/handle/123456789/54960 https://doi.org/10.1016/j.epsr.2020.107009 |
dc.language.iso.fl_str_mv |
eng |
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eng |
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Elsevier |
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Elsevier |
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