- 1School of Business Studies and Humanities (BuSH), Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania
- 2Financial Faculty, Financial University Under the Government of the Russian Federation, Moscow, Russia
- 3Department of Electrical Engineering, Qatar University, Doha, Qatar
- 4National Technological Initiative Center, Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia
- 5Department of Management and Innovations, Financial University Under the Government of the Russian Federation, Moscow, Russia
- 6Department of Social, Psychological and Legal Communications, Moscow State University of Civil Engineering (MGSU) National Research University, Moscow, Russia
- 7Plekhanov Russian University of Economics, Moscow, Russia
- 8Financial Research Institute of the Ministry of Finance of the Russian Federation, Moscow, Russia
This article has been retracted. Please follow the link to the full retraction notice for details.
Citation: Nyangarika A, Mikhaylov A, Muyeen SM, Yadykin V, Mottaeva AB, Pryadko IP, Barykin S, Fomenko N, Rykov G and Shvandar K (2022) Energy stability and decarbonization in developing countries: Random Forest approach for forecasting of crude oil trade flows and macro indicators. Front. Environ. Sci. 10:1031343. doi: 10.3389/fenvs.2022.1031343
Received: 29 August 2022; Accepted: 11 November 2022;
Published: 30 November 2022; Retracted: 03 October 2025.
Edited by:
Rongrong Li, China University of Petroleum (East China), ChinaReviewed by:
Qiang Wang, China University of Petroleum, Huadong, ChinaTaiyong Li, Southwestern University of Finance and Economics, China
Shuyu Li, China University of Petroleum, Huadong, China