Estimation of the Electricity Consumption of Turkey Trough Artificial Neural Networks
Küçük Resim Yok
Tarih
2016
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Electricity is one of the most important needs of human life. In order to provide this need sufficiently, demand for the electricity needs to be predicted in advance. Conducting production oriented studies based on the estimation results is a must. In this study, electricity consumption data of Turkey between the years 1970 and 2014 were collected from Turkish Statistical Institute. Using these data, future electricity consumption of Turkey was predicted with the help of artificial neural network method. Results showed that artificial neural network can be used to predict electricity consumption.
Açıklama
17th IEEE International Symposium on Computational Intelligence and Informatics (CINTI) -- NOV 17-19, 2016 -- Budapest, HUNGARY
Anahtar Kelimeler
Artificial Neural Network, Electricity Consumption, Prediction
Kaynak
2016 17th Ieee International Symposium On Computational Intelligence And Informatics (Cinti 2016)












