Title :
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
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;
Conference_Titel :
Machine Learning and Applications (ICMLA), 2013 12th International Conference on
Conference_Location :
Miami, FL
DOI :
10.1109/ICMLA.2013.127
