aceArtificial Intelligence and the Future of Off-Grid Renewable Energy Systems in Nigeria
Artificial Intelligence (AI) has the potential to revolutionize off-grid renewable energy systems in Nigeria by enhancing efficiency, reliability, and sustainability. This study employs a qualitative research approach using secondary data sources to examine the role of AI-driven technologies in optimizing energy generation, distribution, and storage. Anchored in the Technological Innovation System (TIS) theory, the research explores how AI innovations can transform decentralized energy networks while identifying…
A qualitative review of secondary sources finds AI forecasting, smart-grid distribution and battery management can cut waste and extend battery lifespan in off-grid renewable systems in Nigeria.
The study relies on qualitative secondary sources, and the authors say high costs, limited data infrastructure, skills shortages and regulatory constraints hinder AI adoption in Nigeria's energy sector.
Evidence
- Peer-reviewedINTERNATIONAL JOURNAL OF ENGINEERING AND MODERN TECHNOLOGY2026-10-14
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Truvace Impact Record TRV-2026-1576, v1: “Artificial Intelligence and the Future of Off-Grid Renewable Energy Systems in Nigeria.” Truvace, 2026-10-16. /record/TRV-2026-1576 (accessed at citation time). sha256 3d3900d13f6953ac…
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