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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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End to end prediction of optimal power flow in sustainable power system using physics-informed spatiotemporal graph neural network · Sankore

End to end prediction of optimal power flow in sustainable power system using physics-informed spatiotemporal graph neural network

2026Electrical Engineering and Energy (ELENE)JournalOpen access

10.64470/elene.2026.33 Full text0 citations

Authors

6 authors.

Abdul-Majid Issah MaloriFirst author
- Kwame Nkrumah University of Science and Technology (GH)
Emmanuel Asuming Frimpong
- Kwame Nkrumah University of Science and Technology (GH)
Francis Boafo Effah
- Kwame Nkrumah University of Science and Technology (GH)
as printed: Francis Effah Boafo
Elvis Twumasi
- Kwame Nkrumah University of Science and Technology (GH)
Peter Asigri
- Kwame Nkrumah University of Science and Technology (GH)
Bernard Marfo AdjeiSenior author
- Kwame Nkrumah University of Science and Technology (GH)

Fields

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

Power System Optimization and Stabilitylevel 3 · 0.45
Optimal Power Flow Distributionlevel 3 · 0.30
Energy Load and Power Forecastinglevel 3 · 0.08

Sources

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

openalexseen September 5, 2026
2026 · Electrical Engineering and Energy (ELENE) · 0 citations
https://openalex.org/W7164378753