Research Article

Forecast Models Derived by Trend Analysis for the BRICS Economies' Primary Energy Consumption

Volume: 9 Number: 1 January 14, 2026
TR EN

Forecast Models Derived by Trend Analysis for the BRICS Economies' Primary Energy Consumption

Abstract

In this study, trend analysis-based forecast models were derived for the primary energy consumptions (PECs) of Brazil, the Russian Federation, India, China and South Africa economies, known as the BRICS worldwide using total population (TP) and PECs as independent and dependent variables from 1985 to 2023. The derived models were then statistically verified by several indices. Forecasting accuracies of the derived models were also measured using various error indicators. Additionally, the PECs of the BRICS economies were projected from 2025 to 2035 using the proposed models. The results reveal that the future PECs of the related economies can be successfully projected with the proposed models. Moreover, the forecasting results make it abundantly evident that substantial rises are anticipated for the related economies' future PECs. It is thought that the study's results will allow the way for the proposal and establishment of sustainable strategies for controlling the PECs of the BRICS economies using the proposed methodology.

Keywords

References

  1. Aydin G., Kaya S., Karakurt I. Modeling of energy consumption based on population: The case of Turkey. 24th International Mining Congress and Exhibition of Turkey, 14-17 April 2015, Antalya, pp. 88-92.
  2. Aydin G. Production modeling in the oil and natural gas industry: An application of trend analysis. Petroleum Science and Technology 2014; 32(5): 555-564.
  3. Aydin G. Forecasting natural gas production using various regression models. Petroleum Science and Technology 2015; 33: 1486–1492.
  4. Azadeh A., Saberi M., Asadzadeh SM., Khakestani M. A hybrid fuzzy mathematical programming-design of experiment framework for improvement of energy consumption estimation with small data sets and uncertainty: The cases of USA, Canada, Singapore, Pakistan and Iran. Energy 2011; 36(12): 6981-6992.
  5. Azevedo VG., Sartori S., Campos LMS. CO2 emissions: A quantitative analysis among the BRICS nations. Renewable and Sustainable Energy Reviews 2018, 81: 107–115.
  6. Bianco V., Manca O., Nardini S. Electricity consumption forecasting in Italy using linear regression models. Energy 2009; 34(9): 1413-1421.
  7. Bianco V., Manca O., Nardini S., Mine AA. Analysis and forecasting of nonresidential electricity consumption in Romania. Applied Energy 2010; 87(11): 3584–3590.
  8. Bianco V., Scarpa F., Tagliafico LA. Analysis and future outlook of natural gas consumption in the Italian residential sector. Energy Conversion and Management 2014; 87: 754–764.

Details

Primary Language

English

Subjects

Statistical Analysis, Energy, Coal

Journal Section

Research Article

Publication Date

January 14, 2026

Submission Date

April 7, 2025

Acceptance Date

July 6, 2025

Published in Issue

Year 2026 Volume: 9 Number: 1

APA
Rogai, I., Karakurt, İ., & Aydın, G. (2026). Forecast Models Derived by Trend Analysis for the BRICS Economies’ Primary Energy Consumption. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 9(1), 86-104. https://doi.org/10.47495/okufbed.1670959
AMA
1.Rogai I, Karakurt İ, Aydın G. Forecast Models Derived by Trend Analysis for the BRICS Economies’ Primary Energy Consumption. Osmaniye Korkut Ata University Journal of The Institute of Science and Techno. 2026;9(1):86-104. doi:10.47495/okufbed.1670959
Chicago
Rogai, Imene, İzzet Karakurt, and Gökhan Aydın. 2026. “Forecast Models Derived by Trend Analysis for the BRICS Economies’ Primary Energy Consumption”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 9 (1): 86-104. https://doi.org/10.47495/okufbed.1670959.
EndNote
Rogai I, Karakurt İ, Aydın G (January 1, 2026) Forecast Models Derived by Trend Analysis for the BRICS Economies’ Primary Energy Consumption. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 9 1 86–104.
IEEE
[1]I. Rogai, İ. Karakurt, and G. Aydın, “Forecast Models Derived by Trend Analysis for the BRICS Economies’ Primary Energy Consumption”, Osmaniye Korkut Ata University Journal of The Institute of Science and Techno, vol. 9, no. 1, pp. 86–104, Jan. 2026, doi: 10.47495/okufbed.1670959.
ISNAD
Rogai, Imene - Karakurt, İzzet - Aydın, Gökhan. “Forecast Models Derived by Trend Analysis for the BRICS Economies’ Primary Energy Consumption”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 9/1 (January 1, 2026): 86-104. https://doi.org/10.47495/okufbed.1670959.
JAMA
1.Rogai I, Karakurt İ, Aydın G. Forecast Models Derived by Trend Analysis for the BRICS Economies’ Primary Energy Consumption. Osmaniye Korkut Ata University Journal of The Institute of Science and Techno. 2026;9:86–104.
MLA
Rogai, Imene, et al. “Forecast Models Derived by Trend Analysis for the BRICS Economies’ Primary Energy Consumption”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 9, no. 1, Jan. 2026, pp. 86-104, doi:10.47495/okufbed.1670959.
Vancouver
1.Imene Rogai, İzzet Karakurt, Gökhan Aydın. Forecast Models Derived by Trend Analysis for the BRICS Economies’ Primary Energy Consumption. Osmaniye Korkut Ata University Journal of The Institute of Science and Techno. 2026 Jan. 1;9(1):86-104. doi:10.47495/okufbed.1670959

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