Intelligent Decision Support System For Energy Investments

被引：1
|
作者：
Yavanoglu, Uraz [1 ]
Kaplan, Orhan [2 ]
Atli, Hacer [1 ]
Tanis, Gizem [1 ]
Milletsever, Ozlem [1 ]
Inal, Ugur [3 ]
机构：
[1] Gazi Univ, Dept Comp Engn, Ankara, Turkey
[2] Gazi Univ, Dept Elect & Elect Engn, Ankara, Turkey
[3] Cankaya Univ, Dept Comp Engn, Ankara, Turkey
来源：
2013 12TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2013), VOL 2 | 2013年
关键词：
energy forecast; artificial neural network(ANN); natural gas estimation; export estimation; tranmission line length estimation;
D O I：
10.1109/ICMLA.2013.127
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：224 / 231
页数：8
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