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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.

A DATA-DRIVEN POWER LOSS PATTERN RECOGNITION FOR SUSTAINABLE ENERGY MANAGEMENT

2026International Journal of Computer ApplicationsJournalOpen access

10.5120/ijca734c17e3d644 Full text0 citations

Authors

5 authors across 5 institutions in 2 countries.

Udoinyang InyangFirst author
- University of Uyo (NG)
as printed: Udoinyang G. Inyang
Emmanuel A. Ubong
- Federal University of Technology (NG)
Enefiok A. Etuk
- Michael Okpara University of Agriculture (NG)
Ugboaja S. Gregory
- Michael Okpara University of Agriculture (NG)
Blessing E. AkponomeSenior author
- Delta State University (NG)

Fields

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

Smart Grid Energy Managementlevel 3 · 0.12
Electricity Theft Detection Techniqueslevel 3 · 0.07
Smart Grid Security and Resiliencelevel 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 · International Journal of Computer Applications · 0 citations
https://openalex.org/W7203825391

A DATA-DRIVEN POWER LOSS PATTERN RECOGNITION FOR SUSTAINABLE ENERGY MANAGEMENT · Sankore