Forecasting of Electricity Generation Shares by Fossil Fuels Using Artificial Neural Network and Regression Analysis in Turkey

Elifcan GÖÇMEN; Onur DERSE

Makale detayları

Forecasting of Electricity Generation Shares by Fossil Fuels Using Artificial Neural Network and Regression Analysis in Turkey

Yazarlar:

Elifcan GÖÇMEN | Onur DERSE

Yayıncı:

Umut SARAY

Ana Başlıklar:

İmalat

Dergi:

International Scientific and Vocational Studies Journal 2018 Vol.2 Issue 2, pp.20-30

Belge Tipi:

Makale

Yayın Tarihi:

12/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000478039

Sıklık:

İki Yıllık

pISSN:

2618-5938

Özet:

 


This study is
conducted to get predictions for the generation of electricity by annual
production shares and decide the most suitable method for future periods.
Between 2010-2017 in Turkey, the relation of generation shares of coal, natural
gas, liquid fuels with the greenhouse gas is examined with the artificial
neural network and the regression analysis. The input “greenhouse gas” to
explain the effect in the using the energy sources for the electricity
generation is searched. Artificial neural network (ANN) and regression analysis
methods are used in the study. As a result, ANN gives better results than the
regression analysis.


.

 


This study is
conducted to get predictions for the generation of electricity by annual
production shares and decide the most suitable method for future periods.
Between 2010-2017 in Turkey, the relation of generation shares of coal, natural
gas, liquid fuels with the greenhouse gas is examined with the artificial
neural network and the regression analysis. The input “greenhouse gas” to
explain the effect in the using the energy sources for the electricity
generation is searched. Artificial neural network (ANN) and regression analysis
methods are used in the study. As a result, ANN gives better results than the
regression analysis.

.

Makale detayları

Forecasting of Electricity Generation Shares by Fossil Fuels Using Artificial Neural Network and Regression Analysis in Turkey

Yazarlar: Elifcan GÖÇMEN | Onur DERSE

Yayıncı: Umut SARAY

Ana Başlıklar: İmalat

Dergi: International Scientific and Vocational Studies Journal 2018 Vol.2 Issue 2, pp.20-30

Belge Tipi: Makale

Yayın Tarihi: 12/2018

Belge Dili: İngilizce

Document ID (Org No.): 2000478039

Sıklık: İki Yıllık

pISSN: 2618-5938

Sayı

Yazarlar:

Elifcan GÖÇMEN | Onur DERSE

Yayıncı:

Umut SARAY

Ana Başlıklar:

İmalat

Dergi:

International Scientific and Vocational Studies Journal 2018 Vol.2 Issue 2, pp.20-30

Belge Tipi:

Makale

Yayın Tarihi:

12/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000478039

Sıklık:

İki Yıllık

pISSN:

2618-5938