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AI for Energy Management: Driving Efficiency and Sustainability in the MENA Region

In: AI in the Middle East for Growth and Business

Author

Listed:
  • Thami Ghorfi

    (ESCA Ecole de Management)

  • Saad Laraqui

    (ESCA Ecole de Management)

  • Hicham Nachit

    (ESCA Ecole de Management)

Abstract

This book chapter examines the transformative impact of Artificial Intelligence (AI) on the global adoption energy value chain, with a focus on the Middle East and North Africa (MENA) region. It illustrates how AI technologies are reshaping energy systems through automation and the strategic alignment of energy supply, demand, and renewable integration. Structured around the phases of generation, distribution, and retail, this chapter evaluates how AI enhances operational efficiency, upgrades grid performance, and reduces operational costs within the unique energy context of the MENA region. It addresses the beneficial impacts of AI and confronts the challenges of its adoption, including regulatory barriers, substantial infrastructural needs, and the high carbon footprint of AI technologies. Moreover, it underscores the potential of AI to significantly improve energy management and sustainability practices. This analysis aims to enrich the understanding of AI’s significant role in driving the power supply chain toward a more efficient and sustainable future, emphasizing adaptive strategies that optimize AI’s full potential while navigating its complexities.

Suggested Citation

  • Thami Ghorfi & Saad Laraqui & Hicham Nachit, 2025. "AI for Energy Management: Driving Efficiency and Sustainability in the MENA Region," Springer Books, in: Nehme Azoury & Georges Yahchouchi (ed.), AI in the Middle East for Growth and Business, chapter 0, pages 145-175, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-75589-7_10
    DOI: 10.1007/978-3-031-75589-7_10
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