Title: Estimating coal consumption in Turkey using machine learning methods

Authors: Hande Erdoğan; Mehmet Kayakuş; Mustafa Terzioğlu

Addresses: Department of Management Information Systems, Akdeniz University, Antalya, Turkey ' Department of Management Information Systems, Akdeniz University, Antalya, Turkey ' Accounting and Tax Department, Akdeniz University, Antalya, Turkey

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. [Received: April 20, 2022; Accepted: June 6, 2022]

Keywords: coal; coal consumption; artificial intelligence; machine learning; estimation; Turkey.

DOI: 10.1504/IJOGCT.2023.130373

International Journal of Oil, Gas and Coal Technology, 2023 Vol.33 No.1, pp.20 - 36

Received: 18 Apr 2022
Accepted: 06 Jun 2022
Published online: 18 Apr 2023 *

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