Long Term Electricity Demand Forecasting in Turkey Using Artificial Neural Networks
Yükleniyor...
Dosyalar
Tarih
2010
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
TAYLOR & FRANCIS INC
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
This article presents an approach for Turkey's long-term electricity demand forecasting. Two Artificial Neural Network structures, three-layered back-propagation and a recurrent neural network are designed and tested for this purpose. Predictions are done for the years 2008 to 2014. Since long-term forecasting is mainly influenced by economic factors, this study focuses on economic data. The proposed approach produces lower percent errors, especially in the recurrent neural network. The forecast results by artificial neural networks are also compared with official forecasts.
Açıklama
Anahtar Kelimeler
Artificial Neural Networks, Economic Factors, Load Forecasting, Turkey
Kaynak
Energy Sources Part B-economics Planning and Policy
WoS Q Değeri
Q3
Scopus Q Değeri
Q1
Cilt
5
Sayı
3
Künye
Çunkaş, M., Altun, A. A., (2010). Long Term Electricity Demand Forecasting in Turkey Using Artificial Neural Networks. Energy Sources Part B-economics Planning and Policy, 5(3), 279-289. Doi:10.1080/15567240802533542
