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Analysis of Energy System in South Africa Using Exponential Smoothing Approach and Regression Technique

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  • Mohammad Mehdi Ghiasi

    (University of KwaZulu-Natal, Durban, South Africa)

  • Alireza Aslani

    (Interdisciplinary Department, Faculty of New Sciences and Technology, University of Tehran, Tehran, Iran)

  • Younes Noorollahi

    (University of Tehran, Tehran, Iran)

Abstract

The energy demand has increased dramatically in the recent decades. Due to the limitations and environmental effects of fossil fuels, secure level of energy supply is vital for economic and social development. This work is to review the energy sector in South Africa. After that, the consumptions of coal, oil, natural gas, and nuclear energy are estimated by employing simple exponential smoothing methodology. Finding shows that the primary energy consumption in the South Africa is correlated as a function of population growth rate, industrial growth rate, and GDP.

Suggested Citation

  • Mohammad Mehdi Ghiasi & Alireza Aslani & Younes Noorollahi, 2016. "Analysis of Energy System in South Africa Using Exponential Smoothing Approach and Regression Technique," International Journal of Sustainable Economies Management (IJSEM), IGI Global, vol. 5(3), pages 51-67, July.
    • Handle: RePEc:igg:jsem00:v:5:y:2016:i:3:p:51-67
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