Using Artificial Intelligence to Improve Hybrid Renewable Energy Systems in Africa

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@article{1707901,
      author = {Ezekiel Ezekiel Smart, Lois Oyindamola Olanrewaju, Mariam Masud Oniye, Emmanuel Onyemeachi Chukwuma, Israel Oluwaseun Jimson; Glory David Adebayo},
      title = {Using Artificial Intelligence to Improve Hybrid Renewable Energy Systems in Africa},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {10},
      pages = {591-604},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1707901.pdf},
      abstract = {This review paper discusses the implementation of Artificial Intelligence (AI) in Hybrid Renewable Energy Systems (HRES) through case study applications in Africa. The research responds to key issues such as energy poverty, poor reliability in the power grid, as well as the impact of climate change that face most African countries. By scrutinizing already established applications of AI in HRES, the paper acknowledges the technological advancements, applications and limitations in AI-HRES combination. It stresses the need for intelligent coordination in terms of responding to variability in the generation of renewable power, minimizing costs, and making energy accessible. The paper notes that AI technologies like machine learning and deep learning increase energy efficiency significantly, decrease operational costs, and improve access to energy in remote locations. Case studies from Kenya, Nigeria, Rwanda and South Africa show efficiency improvement ranging between 10% to 30%. The paper concludes with an exposition on policy implications and development, coming up with actionable recommendations towards fast-tracking Africa's clean energy transition and advancing research trajectories in the upscaling of AI-enabled solutions in both off-grid and as grid-edge contexts.},
      keywords = {Artificial Intelligence (AI), Hybrid Renewable Energy Systems (HRES), Energy Efficiency, Sustainable Development, Africa.},
      month = {April},
  }