Estimation of the Electricity Consumption of Turkey Trough Artificial Neural Networks

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dc.contributor.authorTumer, Abdullah Erdal
dc.contributor.authorKocer, Sabri
dc.contributor.authorKoca, Arafat
dc.date.accessioned2024-02-23T14:45:01Z
dc.date.available2024-02-23T14:45:01Z
dc.date.issued2016
dc.departmentNEÜen_US
dc.description17th IEEE International Symposium on Computational Intelligence and Informatics (CINTI) -- NOV 17-19, 2016 -- Budapest, HUNGARYen_US
dc.description.abstractElectricity is one of the most important needs of human life. In order to provide this need sufficiently, demand for the electricity needs to be predicted in advance. Conducting production oriented studies based on the estimation results is a must. In this study, electricity consumption data of Turkey between the years 1970 and 2014 were collected from Turkish Statistical Institute. Using these data, future electricity consumption of Turkey was predicted with the help of artificial neural network method. Results showed that artificial neural network can be used to predict electricity consumption.en_US
dc.description.sponsorshipIEEEen_US
dc.identifier.endpage318en_US
dc.identifier.isbn978-1-5090-3909-8
dc.identifier.issn2380-8586
dc.identifier.scopus2-s2.0-85015301171en_US
dc.identifier.startpage315en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12452/17220
dc.identifier.wosWOS:000399130100055en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2016 17th Ieee International Symposium On Computational Intelligence And Informatics (Cinti 2016)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Neural Networken_US
dc.subjectElectricity Consumptionen_US
dc.subjectPredictionen_US
dc.titleEstimation of the Electricity Consumption of Turkey Trough Artificial Neural Networksen_US
dc.typeConference Objecten_US

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