Scopus
YÖKSİS Eşleşti
Long term electricity demand forecasting in Turkey using artificial neural networks
Energy Sources, Part B: Economics, Planning and Policy · Temmuz 2010
YÖKSİS Kayıtları
Long Term Electricity Demand Forecasting in Turkey Using Artificial Neural Networks
Energy Sources, Part B: Economics, Planning, and Policy · 2010 SCI-Expanded
PROFESÖR ADEM ALPASLAN ALTUN →
Long Term Electricity Demand Forecasting in Turkey Using Artificial Neural Networks
Energy Sources, Part B: Economics, Planning, and Policy · 2010 SCI-Expanded
PROFESÖR MEHMET ÇUNKAŞ →
Makale Bilgileri
DergiEnergy Sources, Part B: Economics, Planning and Policy
Yayın TarihiTemmuz 2010
Cilt / Sayfa5 · 279-289
Scopus ID2-s2.0-77954924900
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. Copyright © 2010 Taylor & Francis Group, LLC.
Yazarlar (2)
1
Mehmet Çunkaş
2
A. A. Altun
Anahtar Kelimeler
artificial neural networks
economic factors
load forecasting
Turkey
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
46
Atıf
2
Yazar
4
Anahtar Kelime