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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Optimization of energy grid efficiency with machine learning: A comprehensive review of challenges and opportunities

2025Renewable and Sustainable Energy ReviewsJournal

10.1016/j.rser.2025.115980 Full text8 citations

Authors

10 authors across 7 institutions in 2 countries.

Samson Kolawole FasogbonFirst author
- University of Ibadan (NG)
Ibrahim Ademola FetugaCorresponding
- University of Lagos (NG)
Ayodele Temitope Oyeniran
- Obafemi Awolowo University (NG)
Samuel Adavize Shaibu
- University of Ibadan (NG)
Samuel O. Afolabi
as printed: Samuel Afolabi
Tochukwu Anthony Ndokwu
Seyi Rufus Oluwadare
John Temitope Onafowokan
Opeyemi Samuel Eso
Victor Blessed BasseySenior author

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Energy Load and Power Forecastinglevel 3 · 1.00
Smart Grid Energy Managementlevel 3 · 1.00
Electric Power System Optimizationlevel 3 · 0.99

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2025 · Renewable and Sustainable Energy Reviews · 8 citations
https://openalex.org/W4411868031

Optimization of energy grid efficiency with machine learning: A comprehensive review of challenges and opportunities · Sankore