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

EasyChair Preprint 15237

6 pagesDate: October 18, 2024

Abstract

Africa faces significant challenges in achieving universal energy access, a fundamental prerequisite for sustainable development. This paper explores the potential of Artificial intelligence (AI) to bridge 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 barriers including technical and infrastructural limitations, economic constraints, policy inconsistencies, and societal acceptance issues. This paper examines these challenges and propose strategic solutions to overcome them. The paper also discusses the prospects in integrating AI in Africa’s energy sector.

Keyphrases: Artificial Intelligence, Electricity access, Energy, SDG7, achieving sustainable development goal, achieving universal energy access, africa s energy sector, machine learning, sustainable development

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:15237,
  author    = {Ebikella Mienye and George Obaido and Priye Kenneth Ainah and Ikiomoye Douglas Emmanuel and Ibomoiye Domor Mienye},
  title     = {Enhancing Energy Access in Africa Through Artificial Intelligence: Opportunities and Challenges},
  howpublished = {EasyChair Preprint 15237},
  year      = {EasyChair, 2024}}
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