Forecasting of Electricity Generation Shares by Fossil Fuels Using Artificial Neural Network and Regression Analysis in Turkey
Journal Title: International Scientific and Vocational Studies Journal - Year 2018, Vol 2, Issue 2
Abstract
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.
Authors and Affiliations
Elifcan Göçmen, Onur Derse
Keywords
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