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Forecasting Turkey’s Natural Gas Consumption by Using Time Series Methods

European Journal of Economic and Political Studies

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Title Forecasting Turkey’s Natural Gas Consumption by Using Time Series Methods
 
Creator Mustafa Akkurt
Omer F. Demirel
Selim Zaim
 
##plugins.schemas.dc.fields.affiliation.name## Fatih University
Fatih University
Fatih University
 
##plugins.schemas.dc.fields.email.name## makkurt@fatih.edu.tr
odemirel@fatih.edu.tr
szaim@fatih.edu.tr
 
Description Strategic energy planning processes, which include natural gas demand, are commonly used as a tool to design the regional and local energy system and encourage renewable energy development. The oil and natural gas market plays a very important role in the strategic energy planning process in a country. In recent years, natural gas consumption has become the fastest growing primary energy source in Turkey. In this study, natural gas consumptions of Turkey in different time periods are forecasted by using various time series methods such as exponential smoothing, winters’ forecasting and Box-Jenkins methods. These methods are compared with each other in terms of the superiority in forecasting performance. The findings reveal that in the yearly data set, double exponential smoothing model outperforms the other alternative forecasting models. On the other hand, in term of monthly data set, SARIMA model provides the better results than the others.
 
Subject Forecasting; Time Series; Natural Gas.
 
##plugins.schemas.dc.fields.jel.name## C22, C53, O13.
 
Source European Journal of Economic and Political Studies
 
##plugins.schemas.dc.fields.year.name## 2010
 
##plugins.schemas.dc.fields.volume.name## 3
 
##plugins.schemas.dc.fields.issue.name## 2
 
##plugins.schemas.dc.fields.pages.name## 1-21
 
##plugins.schemas.dc.fields.pdfurl.name## http://www.ejeps.com/index.php/ejeps/article/download/50/50
 
Format application/pdf
 
Publisher Fatih University
 
Contributor
 
Date 2016-02-03
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Identifier http://www.ejeps.com/index.php/ejeps/article/view/50
 
##plugins.schemas.dc.fields.onlineissn.name## 1307-6035
 
##plugins.schemas.dc.fields.printissn.name## 1307-6000
 
Language eng
 
Relation http://www.ejeps.com/index.php/ejeps/article/view/50/50
 
Rights Copyright (c) 2016 European Journal of Economic and Political Studies
http://creativecommons.org/licenses/by-nc-nd/4.0