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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 COMPREHENSIVE REVIEW OF MACHINE LEARNING MODELS FOR OVERLOAD PREDICTION IN DISTRIBUTION TRANSFORMERS

2026Journal of Engineering Logic and Modelling ResearchJournalOpen access

10.70382/sjelmr.v13i5.030 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

A.A. JIMOHFirst author
- Kwara State Polytechnic (NG)
- The Federal Polytechnic, Ado-Ekiti (NG)
as printed: JIMOH, A. A.
OLADUNTOYE Q. O.
- The Federal Polytechnic, Ado-Ekiti (NG)
as printed: OLADUNTOYE, Q. O.
NAFIU ABUBAKAR S.
- Kwara State Polytechnic (NG)
- The Federal Polytechnic, Ado-Ekiti (NG)
AZANUBI JOHN O.Senior author
- Kwara State Polytechnic (NG)
- The Federal Polytechnic, Ado-Ekiti (NG)

Fields

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

Power Transformer Diagnostics and Insulationlevel 3 · 0.82
Energy Load and Power Forecastinglevel 3 · 0.06
Power System Reliability and Maintenancelevel 3 · 0.02

Sources

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

openalexseen September 9, 2026
2026 · Journal of Engineering Logic and Modelling Research · 0 citations
https://openalex.org/W7201887967

A COMPREHENSIVE REVIEW OF MACHINE LEARNING MODELS FOR OVERLOAD PREDICTION IN DISTRIBUTION TRANSFORMERS · Sankore