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Electricity Price Modelling for Turkey

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dc.contributor.author Yıldırım, Miray Hanım
dc.contributor.author Bayrak, Özlem Türker
dc.contributor.author Weber, Gerhard Wilhelm
dc.contributor.author Özmen, Ayşe
dc.date.accessioned 2020-04-09T16:15:01Z
dc.date.available 2020-04-09T16:15:01Z
dc.date.issued 2012
dc.identifier.citation Yildirim, Miray Hanim; Ozmen, Ayse; Bayrak, Ozlem Turker; et al. (2012). "Electricity Price Modelling for Turkey", pp, 39-44. tr_TR
dc.identifier.issn 0721-5924
dc.identifier.uri http://hdl.handle.net/20.500.12416/3017
dc.description.abstract This paper presents customized models to predict next-day's electricity price in short-term periods for Turkey's electricity market. Turkey's electricity market is evolving from a centralized approach to a competitive market. Fluctuations in the electricity consumption show that there are three periods; day, peak, and night. The approach proposed here is based on robust and continuous optimization techniques, which ensures achieving the optimum electricity price to minimize error in periodic price prediction. Commonly, next-day's electricity prices are forecasted by using time series models, specifically dynamic regression model. Therefore electricity price prediction performance was compared with dynamic regression. Numerical results show that CMARS and RCMARS predicts the prices with 30% less error compared to dynamic regression. tr_TR
dc.language.iso eng tr_TR
dc.publisher Springer-Verlag Berlin tr_TR
dc.relation.isversionof 10.1007/978-3-642-29210-1_7 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.title Electricity Price Modelling for Turkey tr_TR
dc.type workingPaper tr_TR
dc.relation.journal Operations Research Proceedings 2011 tr_TR
dc.contributor.authorID 56416 tr_TR
dc.identifier.startpage 39 tr_TR
dc.identifier.endpage 44 tr_TR
dc.contributor.department Çankaya Üniversitesi, İktisadi İdari Bilimler Fakültesi, İstatistik Bilim Dalı tr_TR


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