Akademik Veri Yönetim Sistemi
INTERNATIONAL JOURNAL OF OIL, GAS AND COAL TECHNOLOGY, cilt.30, sa.1, ss.20-36, 2023 (SCI-Expanded)
In this study, coal consumption was estimated by using machine learning techniques. In the model in which variables related to coal consumption were used, the R2 value was 0.811 for the artificial neural network and 0.853 for the support vector regression, and it was observed that the model made successful predictions. The answers to important points such as the level of coal consumption in the future, the impact of the consumption on the climate, and the size of investment in the clean energy resources required for the energy needed if coal consumption is abandoned will be considered in this study to guide the researchers and decision makers.