Modelling Turkey's Energy Consumption Based on Artificial Neural Network

2010 Ninth International Conference on Machine Learning and Applications Pub Date : 2010-12-12 DOI:10.1109/ICMLA.2010.105

H. S. Kuyuk, O. Ozkan, R. Kayikci, S. Bayraktaroglu

引用次数: 1

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.

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基于人工神经网络的土耳其能源消费模型

能源在经济中起着基础性的作用。土耳其的GDP(按购买力平价计算)排名世界第15位，名义GDP排名世界第17位。经济学家和政治学家将土耳其归类为新兴工业化国家。在本研究中，提出了1980年至2004年期间土耳其能源消耗的替代模型。基于人工神经网络的模型(ANN)是首选的预测工具。模型中使用了基于购买力平价的国内生产总值(GDP)、工业生产指数和总人口。研究发现，能源消耗与工业生产指数有直接关系。此外，人口与GDP之间存在因果关系。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2010 Ninth International Conference on Machine Learning and Applications

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