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Intelligent Decision Support System for Energy Investments

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dc.contributor.author Yavanoğlu, Uraz
dc.contributor.author Kaplan, Orhan
dc.contributor.author Tanış, Gizem
dc.contributor.author Atlı, Hacer
dc.contributor.author Milletsever, Özlem
dc.contributor.author İnal, Uğur
dc.date.accessioned 2020-04-17T20:48:50Z
dc.date.available 2020-04-17T20:48:50Z
dc.date.issued 2013
dc.identifier.uri http://hdl.handle.net/20.500.12416/3299
dc.description.abstract In this study, Turkey's energy data were examined and decision support system was formed for Turkey. Energy is an important need for the economic development of the country. The energy requirements are increased due to population growth of Turkey. It was decided that this study is done after these requirements and Turkey energy policy were evaluated. 3 topics were discussed for the system. Natural gas, export, and transmission line length are estimated. Artificial neural network is used for energy estimation. In trainings, the energy data of Turkey Electricity Distribution Company are used. The results show that average success is 99%. This decision support system will contribute to Turkey Electricity Distribution Company. tr_TR
dc.language.iso eng tr_TR
dc.publisher IEEE tr_TR
dc.relation.isversionof 10.1109/ICMLA.2013.127 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Energy Forecast tr_TR
dc.subject Artificial Neural Network(ANN) tr_TR
dc.subject Natural Gas Estimation tr_TR
dc.subject Export Estimation tr_TR
dc.subject Tranmission Line Length Estimation tr_TR
dc.title Intelligent Decision Support System for Energy Investments tr_TR
dc.type workingPaper tr_TR
dc.relation.journal 2013 12th International Conference On Machine Learning and Applications (Icmla 2013) tr_TR
dc.identifier.startpage 224 tr_TR
dc.identifier.endpage 231 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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