Intelligent Decision Support System for Energy Investments

Yavanoğlu, Uraz; Kaplan, Orhan; Tanış, Gizem; Atlı, Hacer; Milletsever, Özlem; İnal, Uğur

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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