@article{article_446177, title={Forecasting of Electricity Generation Shares by Fossil Fuels Using Artificial Neural Network and Regression Analysis in Turkey}, journal={International Scientific and Vocational Studies Journal}, volume={2}, pages={20–30}, year={2018}, author={Göçmen, Elifcan and Derse, Onur}, keywords={Fossil Fuels,Greenhouse gas,Regression Analysis,Feed Forward Neural Networks}, abstract={<p class="MsoNormal" style="text-indent:0cm;"> <span lang="en-us" style="font-size:9pt;font-family:’Times New Roman’, serif;" xml:lang="en-us">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. </span> <br /> </p> <p> </p>}, number={2}, publisher={Umut SARAY}