Author/Authors :
KAYNAR, Oğuz Cumhuriyet Üniversitesi - Iktisadi ve Idari Bilimler Fakültesi (İİBF) - Yönetim Bilisim Sistemleri Bölümü, Turkey , TAŞTAN, Serkan Cumhuriyet Üniversitesi - Iktisadi ve Idari Bilimler Fakültesi (İİBF) - Yönetim Bilisim Sistemleri Bölümü, Turkey , DEMİRKOPARAN, Ferhan Cumhuriyet Üniversitesi - Iktisadi ve Idari Bilimler Fakültesi (İİBF) - Yönetim Bilisim Sistemleri Bölümü, Turkey
Title Of Article :
YAPAY SİNİR AĞLARI İLE DOĞALGAZ TÜKETİM TAHMİNİ
Abstract :
It is crucial to predict the natural gas consumption for our country that follow a foreign dependent policy to yield natural gas and whose storage capacity of natural gas is %5 of total consumption. Robust prediction of natural gas demand is one of the factors that affects sector-specific investments and agreements about buying gas and so development of natural gas sector. The object of this study is to prophesy the short-term natural gas consumption by the aid of artificial neural network and classical time series (ARIMA models). In this paper also, models’ performances are analysed through the predicted and observed values obtained from both models, are compared.
NaturalLanguageKeyword :
Artifical Neural Networks , MLP , ARIMA
JournalTitle :
Journal Of Economics and Administrative Sciences, Ataturk University
