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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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A machine learning-supported framework for predicting Nigeria’s optimal energy storage and emission reduction potentials

2024Renewable energy focusJournal

10.1016/j.ref.2024.100677 Full text12 citations

Authors

8 authors across 5 institutions in 3 countries.

Stanley Aimhanesi EshiemogieFirst authorCorresponding
- University of Benin (NG)
Peace Precious Aielumoh
- University of Benin (NG)
Tobechukwu Okamkpa
- University of Nigeria (NG)
Miracle Chinonso Jude
- University of Benin (NG)
Lois Efe
Andrew N. AmenaghawonCorresponding
- University of Benin (NG)
as printed: Andrew Nosakhare Amenaghawon
Handoko DarmokoesoemoCorresponding
Heri Septya KusumaSenior authorCorresponding

Fields

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

Integrated Energy Systems Optimizationlevel 3 · 1.00
Energy Load and Power Forecastinglevel 3 · 1.00
Energy and Environment Impactslevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2024 · Renewable energy focus · 12 citations
https://openalex.org/W4405793395

A machine learning-supported framework for predicting Nigeria’s optimal energy storage and emission reduction potentials · Sankore