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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.

Machine Learning for Voltage Stability in Nigeria’s Power Network: A Comprehensive Review

2026Engineering innovationsJournalOpen access

10.4028/p-iwl0g6 Full text0 citations

Authors

6 authors across 2 institutions in 2 countries.

Gelwasa Galadima YabaniFirst authorCorresponding
Emmanuel Chinonye Asogwa
- University of Nigeria (NG)
Ikechukwu Jerry Ogbonna
- University of Nigeria (NG)
Koja Olanrewaju Akintade
- University of Nigeria (NG)
Amarachukwu Ann Odimegwu
- University of Nigeria (NG)
Stella Nneka OkwoSenior author
- University of Nigeria (NG)

Fields

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

Power System Optimization and Stabilitylevel 3 · 0.36
Electricity Theft Detection Techniqueslevel 3 · 0.10
Optimal Power Flow Distributionlevel 3 · 0.06

Sources

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

openalexseen September 9, 2026
2026 · Engineering innovations · 0 citations
https://openalex.org/W7133204054

Machine Learning for Voltage Stability in Nigeria’s Power Network: A Comprehensive Review · Sankore