Enhancing Energy Access in Africa through Artificial Intelligence: Opportunities and Challenges

Mienye, Ebikella; Obaido, George; Ainah, Priye Kenneth; Emmanuel, Ikiomoye Douglas; Mienye, Ibomoiye Domor

Abstract

Africa faces significant challenges in achieving uni- versal energy access, a fundamental prerequisite for sustainable development. This paper explores the potential of artificial intelli- gence (AI) in bridging this gap by enhancing grid management, optimizing off-grid solutions, and improving energy efficiency across the continent. While AI offers significant potential, its implementation is hindered by several challenges, including infrastructural limitations, economic constraints, policy incon- sistencies, and societal acceptance issues. This paper examines these challenges and proposes strategic solutions to overcome them. The paper also discusses the prospects of integrating AI into Africa's energy sector.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2024 IEEE PES/IAS PowerAfrica
• Start Date: Oct 7, 2024
• End Date: Oct 11, 2024
• Acceptance Date: Jan 27, 2025
• Publication Date: Oct 7, 2024
• Deposit Date: Feb 5, 2025
• Peer Reviewed: Peer Reviewed
• Pages: 01-06
• Book Title: 2024 IEEE PES/IAS PowerAfrica
• ISBN: 9798350389395
• DOI: https://doi.org/10.1109/powerafrica61624.2024.10759401