The impact of the COVID-19 pandemic and behavioral restrictions on electricity consumption and the daily demand curve in Turkey

dc.authoridYükseltan, Ergün/0000-0002-7853-2897
dc.authoridBilge, Ayse Humeyra/0000-0002-6043-0833
dc.authoridAgca Aktunc, Esra/0000-0002-9597-569X
dc.authoridAgca Aktunc, Esra/0000-0002-9597-569X
dc.authoridKOK, ALI/0000-0001-7868-3225
dc.authorwosidYükseltan, Ergün/AAI-9161-2021
dc.authorwosidBilge, Ayse Humeyra/I-5901-2012
dc.authorwosidAgca Aktunc, Esra/W-4513-2017
dc.authorwosidAgca Aktunc, Esra/JGD-5758-2023
dc.contributor.authorBilge, Ayşe Hümeyra
dc.contributor.authorKok, A.
dc.contributor.authorYucekaya, A.
dc.contributor.authorBilge, A.
dc.contributor.authorAktunc, E. Agca
dc.contributor.authorHekimoglu, M.
dc.date.accessioned2023-10-19T15:11:42Z
dc.date.available2023-10-19T15:11:42Z
dc.date.issued2022
dc.department-temp[Yukseltan, E.; Kok, A.; Yucekaya, A.; Bilge, A.; Aktunc, E. Agca; Hekimoglu, M.] Kadir Has Univ, Dept Ind Engn, Istanbul, Turkeyen_US
dc.description.abstractThe rapid spread of COVID-19 has severely impacted many sectors, including the electricity sector. The reliability of the electricity sector is critical to the economy, health, and welfare of society; therefore, supply and demand need to be balanced in real-time, and the impact of unexpected factors should be analyzed. During the pandemic, behavioral restrictions such as lockdowns, closure of factories, schools, and shopping malls, and changing habits, such as shifted work and leisure hours at home, significantly affected the demand structure. In this research, the restrictions and their corresponding timing are classified and mapped with the Turkish electricity demand data to analyze the estimated impact of the restrictions on total demand and daily demand profile. A modulated Fourier Series Expansion evaluates deviations from normal conditions in the aggregate demand and the daily consumption profile. The aggregate demand shows a significant decrease in the early phase of the pandemic, during the period March-June 2020. The shape of the daily demand curve is analyzed to estimate how much demand shifted from daytime to night-time. A population-based restriction index is proposed to analyze the relationship between the strength and coverage of the restrictions and the total demand. The persistency of the changes in the daily demand curve in the post-contingency period is analyzed. These findings imply that new scheduling approaches for daily and weekly loads are required to avoid supply-demand mismatches in the future. The longterm policy implications for the energy transition and lessons learned from the COVID-19 pandemic experience are also presented.en_US
dc.description.sponsorshipTUBITAK 1001 Program [120M251]en_US
dc.description.sponsorshipAcknowledgment This work was funded by TUBITAK 1001 Program, Grant Number 120M251.en_US
dc.identifier.citation9
dc.identifier.doi10.1016/j.jup.2022.101359en_US
dc.identifier.issn0957-1787
dc.identifier.issn1878-4356
dc.identifier.pmid35250191en_US
dc.identifier.scopus2-s2.0-85125439426en_US
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.jup.2022.101359
dc.identifier.urihttps://hdl.handle.net/20.500.12469/5179
dc.identifier.volume76en_US
dc.identifier.wosWOS:000783097500002en_US
dc.identifier.wosqualityQ3
dc.khas20231019-WoSen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofUtilities Policyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectWeather VariablesEn_Us
dc.subjectForecastEn_Us
dc.subjectEnergyEn_Us
dc.subjectLoadEn_Us
dc.subjectCOVID-19en_US
dc.subjectWeather Variables
dc.subjectPandemicen_US
dc.subjectForecast
dc.subjectRestrictionsen_US
dc.subjectEnergy
dc.subjectElectricity demand forecastingen_US
dc.subjectLoad
dc.subjectDaily demand curveen_US
dc.titleThe impact of the COVID-19 pandemic and behavioral restrictions on electricity consumption and the daily demand curve in Turkeyen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublication1b50a6b2-7290-44da-b8d5-f048fea8b315
relation.isAuthorOfPublication.latestForDiscovery1b50a6b2-7290-44da-b8d5-f048fea8b315

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