Risk assessment due to electricity demand forecasting under uncertainty

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dc.contributor.authorBoltürk, Eda
dc.contributor.authorÖztayşi, Başar
dc.date.accessioned2020-11-21T15:57:04Z
dc.date.available2020-11-21T15:57:04Z
dc.date.issued2013en_US
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.description4th International Conference on Risk Analysis and Crisis Response, RACR 2013 -- 27 August 2013 through 29 August 2013 -- Istanbul -- 100914en_US
dc.description.abstractWith the new regulations in Turkey, companies have started to buy electricity from different suppliers in the market. Thus, from the perspective of the electricity providers demand forecasting has become a significant issue. Errors in electricity demand forecasting generate a considerable amount of risk. For electricity suppliers, assessment of this risk caused by the uncertainty has become an important issue. In this paper real world case study is given and Value-At-Risk (VAR) value is calculated due to load forecast errors. The ARIMA and Grey forecasting methods are used for predicting the electricity consumption. © 2013 Taylor & Francis Group.en_US
dc.identifier.endpage722en_US
dc.identifier.isbn9781140000000
dc.identifier.scopus2-s2.0-84887923084en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage717en_US
dc.identifier.urihttps://hdl.handle.net/11467/4214
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofIntelligent Systems and Decision Making for Risk Analysis and Crisis Response - Proceedings of the 4th International Conference on Risk Analysis and Crisis Response, RACR 2013en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleRisk assessment due to electricity demand forecasting under uncertaintyen_US
dc.typeConference Objecten_US

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