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ORIGINAL RESEARCH article

Front. Environ. Sci., 30 November 2022

Sec. Environmental Economics and Management

Volume 10 - 2022 | https://doi.org/10.3389/fenvs.2022.1031343

This article is part of the Research TopicFuzzy Decisions and Machine Learning Methods in Climate ChangeView all 8 articles

RETRACTED: Energy stability and decarbonization in developing countries: Random Forest approach for forecasting of crude oil trade flows and macro indicators

Retracted
Anthony NyangarikaAnthony Nyangarika1Alexey MikhaylovAlexey Mikhaylov2S. M. Muyeen
S. M. Muyeen3*Vladimir YadykinVladimir Yadykin4Angela B. MottaevaAngela B. Mottaeva5Igor P. PryadkoIgor P. Pryadko6Sergey BarykinSergey Barykin4Natalia FomenkoNatalia Fomenko7George RykovGeorge Rykov8Kristina ShvandarKristina Shvandar8
  • 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This article has been retracted.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), China

Reviewed by:

Qiang Wang, China University of Petroleum, Huadong, China
Taiyong Li, Southwestern University of Finance and Economics, China
Shuyu Li, China University of Petroleum, Huadong, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.