dc.creator | García Caro, Sebastián | es |
dc.creator | Parejo Matos, Antonio | es |
dc.creator | Personal Vázquez, Enrique | es |
dc.creator | Guerrero Alonso, Juan Ignacio | es |
dc.creator | Biscarri Triviño, Félix | es |
dc.creator | León de Mora, Carlos | es |
dc.date.accessioned | 2021-10-20T09:21:17Z | |
dc.date.available | 2021-10-20T09:21:17Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | García Caro, S., Parejo Matos, A., Personal Vázquez, E., Guerrero Alonso, J.I., Biscarri Triviño, F. y León de Mora, C. (2021). A retrospective analysis of the impact of the COVID-19 restrictions on energy consumption at a disaggregated level. Applied Energy, 287 (April 2021) | |
dc.identifier.issn | 0306-2619 | es |
dc.identifier.uri | https://hdl.handle.net/11441/126697 | |
dc.description.abstract | Since the emergence of the virus that causes COVID-19 (the SARS-CoV-2) in Wuhan in December 2019, societies
all around the world have had to change their normal life patterns due to the restrictions and lockdowns imposed
by governments. These changes in life patterns have a direct reflection on energy consumption. Thanks to Smart
Grid technologies, specifically to the Advance Metering Infrastructure at secondary distribution network, this
impact can be evaluated even at the customer level. Thus, this paper analyzes the consumption behavior and the
impact that this crisis has had using Smart Meter data. The proposed approach includes the selection and
normalization of features, automatic clustering, the obtaining of the estimated consumption without considering
the crisis (at short and mid-terms) and the impact evaluation. The proposed approach has been tested on a case
with a real Smart Meter infrastructure from Manzanilla (Huelva, Spain). The results of this use case showed that
residential customers have increased their consumption around 15% during full lockdown and 7.5% during the
reopening period. In contrast, globally, non-residential customers have decreased their consumption 38% during
full lockdown and 14.5% during the reopening period. However, referring to non-residential customers, five
different consumption profiles were found with different short-term and mid-term behaviors during the COVID
crisis. The different behavior found shows customers who have maintained their normal consumption during the
lockdown, others who have reduced it (to a greater or lesser extent) and have not recovered it after the removal
of the restrictions, and others who have reduced the consumption but then they recovered it when the restrictions
were removed. The metadata of the customers in each behavior cluster found are highly correlated to
the restrictions imposed to control the spread of the virus. This study shows evidence about the proposed
approach usefulness to analyze the behavior and the impact at customer level during the COVID-19 crisis. | es |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades RTI2018-094917-B-I00 | es |
dc.description.sponsorship | Ministerio de Educación y Formación Profesional FPU16/03522 | es |
dc.format | application/pdf | es |
dc.format.extent | 14 | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Applied Energy, 287 (April 2021) | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | COVID-19 | es |
dc.subject | Demand analysis | es |
dc.subject | Data mining | es |
dc.subject | Segmentation | es |
dc.subject | Smart meter | es |
dc.title | A retrospective analysis of the impact of the COVID-19 restrictions on energy consumption at a disaggregated level | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Tecnología Electrónica | es |
dc.relation.projectID | RTI2018-094917-B-I00 | es |
dc.relation.projectID | FPU16/03522 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0306261921000969 | es |
dc.identifier.doi | 10.1016/j.apenergy.2021.116547 | es |
dc.journaltitle | Applied Energy | es |
dc.publication.volumen | 287 | es |
dc.publication.issue | April 2021 | es |
dc.contributor.funder | Ministerio de Ciencia, Innovación y Universidades (MICINN). España | es |
dc.contributor.funder | Ministerio de Educación y Formación Profesional. España | es |