New Publication: "Predicting world electricity generation by sources using different machine learning algorithms"
24.02.2025
Written by our Chair of Industrial Engineering, Assoc. Prof. Dr. Batin Latif Aylak, together with Assoc. Prof. Dr. Mehmet Hakan Özdemir, Assoc. Prof. Dr. Murat İnce, and Assoc. Prof. Dr. Okan Oral, the original article titled "Predicting world electricity generation by sources using different machine learning algorithms" has been published in the internationally indexed WOS-SCI Q4 journal "International Journal of Oil, Gas and Coal Technology". In this study, data from the period 2000–2022 was used to predict the world’s electricity generation for the year 2023 by different energy sources using seven different ML algorithms.
The article can be accessed via the link below:
https://www.inderscienceonline.com/doi/abs/10.1504/IJOGCT.2024.136028
