FORECASTING IMPORTS AND EXPORTS OF TURKEY USING ARTIFICIAL INTELLIGENCE METHODS

被引:0
作者
Pence, Ihsan [1 ]
Tunc, Hakan [1 ]
Kalkan, Adnan [1 ]
Cesmeli, Melike Siseci [1 ]
机构
[1] Mehmet Akif Ersoy Univ, TR-15300 Burdur, Turkey
来源
JOINT CONFERENCE ISMC 2018-ICLTIBM 2018 - 14TH INTERNATIONAL STRATEGIC MANAGEMENT CONFERENCE & 8TH INTERNATIONAL CONFERENCE ON LEADERSHIP, TECHNOLOGY, INNOVATION AND BUSINESS MANAGEMENT | 2019年 / 54卷
关键词
Artificial intelligence; curve fitting; forecasting; industrial electricity; ENERGY-CONSUMPTION; ANFIS;
D O I
10.15405/epsbs.2019.01.02.19
中图分类号
F [经济];
学科分类号
02 ;
摘要
The relationship between economic growth, industrial development and energy consumption has been important for a long time and it comes even more important with the Industry 4.0 Revolution. Electricity consumption is an important input in terms of economic growth and the biggest role in this growth is industrialization. It is also seen that a large share belongs to the industrial sector when examining the consumption of electricity according to the sectors in Turkey. For this reason, energy problems that may occur in the future should be well planned and predicted. In this study, forecasting imports and exports of Turkey using the industrial electricity consumption with artificial intelligence methods is proposed. Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System and polynomial curve fitting methods are tried to find the best expressing model by using various parameters. The results show that the models are well-fitted to the data. Developed models are also used for future forecasting and compared the Turkey's 2023 vision. (C) 2019 Published by Future Academy www.FutureAcademy.org.UK
引用
收藏
页码:217 / 228
页数:12
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