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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 prediction of solar energy potential in Nigeria

2022AIP conference proceedingsPublication

10.1063/5.0099501 Full text1 citations

Authors

3 authors across 2 institutions in 1 country.

Samuel OgunjoFirst authorCorresponding
- Federal University of Technology (NG)
Obafaye Aderonke
- National Space Research and Development Agency (NG)
Babatunde RabiuSenior author
- National Space Research and Development Agency (NG)

Fields

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

Energy Load and Power Forecastinglevel 3 · 1.00
Solar Radiation and Photovoltaicslevel 3 · 1.00
Smart Grid Energy Managementlevel 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
2022 · AIP conference proceedings · 1 citations
https://openalex.org/W4292403726

Machine learning prediction of solar energy potential in Nigeria · Sankore