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

Thami Ghorfi (), Saad Laraqui and Hicham Nachit
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Thami Ghorfi: ESCA Ecole de Management
Saad Laraqui: ESCA Ecole de Management
Hicham Nachit: ESCA Ecole de Management

Chapter Chapter 10 in AI in the Middle East for Growth and Business, 2025, pp 145-175 from Springer

Abstract: 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.

Keywords: Artificial intelligence; Energy value chain; MENA region; Sustainable energy practices (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-75589-7_10

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DOI: 10.1007/978-3-031-75589-7_10

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