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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.

Power Planning in Hydropower Plants Using Artificial Intelligence: A Case Study of Nigeria

2024Publication

10.1109/powerafrica61624.2024.10759516 Full text0 citations

Authors

3 authors across 4 institutions in 1 country.

Chidozie Chukwuemeka Nwobi-OkoyeFirst author
- Chukwuemeka Odumegwu Ojukwu University (NG)
Stephen A. Takim
- University of Cross River State (NG)
Stanley OkiySenior author
- Petroleum Training Institute (NG)
- Federal University of Petroleum Resource Effurun (NG)

Fields

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

Smart Grid Energy Managementlevel 3 · 0.98
Energy Load and Power Forecastinglevel 3 · 0.97
Electricity Theft Detection Techniqueslevel 3 · 0.97

Sources

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

openalexseen September 9, 2026
2024 · 0 citations
https://openalex.org/W4406201910

Power Planning in Hydropower Plants Using Artificial Intelligence: A Case Study of Nigeria · Sankore