Intelligent Decision Support System For Energy Investments

YAVANOĞLU U. , KAPLAN O. , Atli H., Tanis G., Milletsever O., Inal U.

12th International Conference on Machine Learning and Applications (ICMLA), Florida, Amerika Birleşik Devletleri, 4 - 07 Aralık 2013, ss.224-231 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/icmla.2013.127
  • Basıldığı Şehir: Florida
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.224-231


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.