DocumentCode
3640093
Title
Modelling Turkey´s Energy Consumption Based on Artificial Neural Network
Author
Huseyin Serdar Kuyuk;Ramazan Kayikci;Ömer Özkan; Bayraktaroğlu
Author_Institution
Dept. of Civil Eng., Sakarya Univ., Sakarya, Turkey
fYear
2010
Firstpage
681
Lastpage
685
Abstract
Energy plays a fundamental role in an economy. Turkey has the world´s 15th largest GDP-Purchasing power parity and 17th largest Nominal GDP. Economists and political scientists classify Turkey as a newly industrialized country. In this study, an alternative model for Turkey’s energy consumption is proposed for the time between 1980 and 2004. Artificial neural network based model (ANN) is preferred as a forecasting tool. Gross domestic product (GDP), which is based on purchasing power parity, industrial production index and total population are utilized in the model. It is found that the energy consumption has direct relations with the Industrial Production Index. Moreover, population and GDP has causality effects.
Keywords
"Energy consumption","Economic indicators","Artificial neural networks","Biological system modeling","Production","Neurons","Training"
Publisher
ieee
Conference_Titel
Machine Learning and Applications (ICMLA), 2010 Ninth International Conference on
Print_ISBN
978-1-4244-9211-4
Type
conf
DOI
10.1109/ICMLA.2010.105
Filename
5708904
Link To Document