Impacts of Renewable Energy Sources and Artificial Intelligence on Grid Reliability and Cost: A Case Study of Libya

Authors

  • Suleiman Abdulagadir M. Edreis Department of Computer Technologies, Higher Institute of Science and Technology Wadi Atba, Libya
  • Mostafa Abubakar Mohmed Kaud Department of Computer Technologies, Higher Institute of Science and Technology Wadi Atba, Libya
  • Abdussalam Mohamed Ali Altaher Department of Information Technology, Higher Institute of Science and Technology, Wadi Al-Ajal, Libya
  • Aimn Azoumi Mohammed Department of Information Technology, Higher Institute of Science and Technology, Wadi Al-Ajal, Libya
  • Massoud Ali Abdalhadi Department of Information Technology, Higher Institute of Science and Technology, Wadi Al-Ajal, Libya

Keywords:

Libya, solar and wind resources, North Africa, environmental impacts, energy integration

Abstract

Libya with its abundant solar and wind resources, stands at the forefront of renewable energy potential in North Africa. However, integrating these intermittent energy sources into the grid poses significant challenges, particularly regarding reliability and cost. This manuscript explores the dual role of renewable energy and artificial intelligence (AI) in addressing these challenges, focusing on Libya's unique climatology. The study evaluates the technical, economic, and environmental impacts of renewable energy integration, supported by AI-driven solutions, and provides actionable recommendations for Libya's energy transition.

Dimensions

Published

2025-02-13

How to Cite

Suleiman Abdulagadir M. Edreis, Mostafa Abubakar Mohmed Kaud, Abdussalam Mohamed Ali Altaher, Aimn Azoumi Mohammed, & Massoud Ali Abdalhadi. (2025). Impacts of Renewable Energy Sources and Artificial Intelligence on Grid Reliability and Cost: A Case Study of Libya. African Journal of Advanced Pure and Applied Sciences (AJAPAS), 4(1), 256–264. Retrieved from https://aaasjournals.com/index.php/ajapas/article/view/1145