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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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Renewable Energy Potential Estimation Using Climatic-Weather-Forecasting Machine Learning Algorithms

2023EnergiesJournalOpen access

10.3390/en16041603 Full text31 citations

Authors

9 authors across 5 institutions in 4 countries.

Chika MaduabuchiFirst authorCorresponding
- University of Nigeria (NG)
Chinedu Nsude
- University of Nigeria (NG)
Chibuoke Eneh
- University of Nigeria (NG)
Emmanuel Eke
- University of Nigeria (NG)
Kingsley Okoli
- University of Nigeria (NG)
Emmanuel Okpara
- University of Nigeria (NG)
Christian Idogho
- University of Nigeria (NG)
Bryan Waya
- University of Nigeria (NG)
Catur HarsitoSenior author
- University of Nigeria (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
Energy and Environment Impactslevel 3 · 0.98

Sources

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

openalexseen September 9, 2026
2023 · Energies · 31 citations
https://openalex.org/W4319319751

Renewable Energy Potential Estimation Using Climatic-Weather-Forecasting Machine Learning Algorithms · Sankore