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Evaluation of Price Forecast Systems for Turkish Electric Market

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dc.contributor.authorTaysi, Z. Cihan
dc.contributor.authorBiricik, Goksel
dc.contributor.authorBozkurt, O. Ozgur
dc.date.accessioned2026-06-27T13:54:02Z
dc.date.issued2015
dc.description.abstractIt is very important to forecast the electric prices in deregulated markets for both producers and brokers. This information is crucial to make effective decisions concerning to production, purchase, maintenance and investment. In this study, we built two different systems for short-term prediction of electricity price in Turkish Electric Market. One of the systems built on ARIMA model, while the other employs a feed forward neural network. Both systems use calendar and historical price information as input. Performance of both systems are compared and it is shown that it is possible to forecast weekly electric price with an average error rate of %8.5.en
dc.identifier.endpage623
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.startpage620
dc.identifier.urihttps://hdl.handle.net/20.500.14981/55463
dc.identifier.wos000380500900133
dc.language.isotur
dc.publisherIEEE
dc.relation.conference23nd Signal Processing and Communications Applications Conference (SIU)
dc.relation.ispartof2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)
dc.subjectelectric market
dc.subjectprice forecast
dc.subjectelectric price
dc.subjectARIMA
dc.subjectANN
dc.subjectTURKEY
dc.subjectEngineering
dc.subjectTelecommunications
dc.titleEvaluation of Price Forecast Systems for Turkish Electric Market
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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