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Nationwide policymaking strategies to prevent future electricity crises in developing countries using data-driven forecasting and fuzzy-SWOT analyses

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  • Safder, Usman
  • Hai, Tra Nguyen
  • Loy-Benitez, Jorge
  • Yoo, ChangKyoo

Abstract

Over the past decades, forecasting electricity demand has been crucial in energy planning and power distribution management to establish sustainable strategies in undeveloped countries. This work proposes an integrated approach to evaluate Pakistan's energy sector and holistically investigate electricity-load strategies to prioritize them and prevent future electricity crises. This paper proposes a renewable energy technologies-based system design to eliminate energy shortfalls. Deep learning models can predict fluctuating variation in energy consumption, crucial for designing renewable energy systems. The strengths – weaknesses – opportunities, and threats (SWOT) analysis identified relevant factors and sub-factors, while the fuzzy-TOPSIS methodology prioritized alternative strategies. The results show that driving the nation to the functionality of an energy hub by sufficiently using its geostrategic location within the regional cooperation framework is the critical dominant factor. Besides, improving the country's investment environment was the least favored priority. Baluchistan was found to have the highest potential for wind energy, with an ability to generate 3270 MWh/year through wind power.

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  • Safder, Usman & Hai, Tra Nguyen & Loy-Benitez, Jorge & Yoo, ChangKyoo, 2022. "Nationwide policymaking strategies to prevent future electricity crises in developing countries using data-driven forecasting and fuzzy-SWOT analyses," Energy, Elsevier, vol. 259(C).
    • Handle: RePEc:eee:energy:v:259:y:2022:i:c:s0360544222018618
    DOI: 10.1016/j.energy.2022.124962
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