Intelligent Decision Support System for Energy Investments

Author

Yavanoglu, Uraz ; Kaplan, Orhan ; Atli, Hacer ; Tanis, Gizem ; Milletsever, Ozlem ; Inal, Ugur

Author_Institution

Dept. of Comput. Eng., Gazi Univ., Ankara, Turkey

Volume

2

fYear

2013

fDate

4-7 Dec. 2013

Firstpage

224

Lastpage

231

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.

Keywords

decision support systems; electricity supply industry; international trade; investment; neural nets; power transmission lines; Turkey Electricity Distribution Company; Turkey energy data; Turkey energy policy; artificial neural network; economic development; energy estimation; export estimation; intelligent decision support system; natural gas estimation; trainings; tranmission line length estimation; Artificial neural networks; Electricity; Natural gas; Power transmission lines; Predictive models; Production; Training; artificial neural network(ANN); energy forecast; export estimation; natural gas estimation; tranmission line length estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Applications (ICMLA), 2013 12th International Conference on

Conference_Location

Miami, FL

Type

conf

DOI

10.1109/ICMLA.2013.127

Filename

6786112