Estimating Coal Consumption in Turkey Using Machine Learning Methods
INTERNATIONAL JOURNAL OF OIL, GAS AND COAL TECHNOLOGY, vol.30, no.1, pp.20-36, 2023 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 30 Issue: 1
- Publication Date: 2023
- Doi Number: 10.1504/ijogct.2022.10052695
- Journal Name: INTERNATIONAL JOURNAL OF OIL, GAS AND COAL TECHNOLOGY
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Compendex, INSPEC
- Page Numbers: pp.20-36
- Open Archive Collection: AVESIS Open Access Collection
- Akdeniz University Affiliated: Yes
Abstract
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.