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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.

Evaluation of the Predictive Accuracy of Polak–Ribière Conjugate Gradient Neural Network Algorithm for the Power Output of an N117/3600 Wind Turbine

2025NIPES Journal of Science and Technology ResearchJournalOpen access

10.37933/nipes/7.4.2025.si428 Full text0 citations

Authors

6 authors.

Temitayo Emmanuel FabunmiFirst author
- Afe Babalola University (NG)
Adedayo Olukayode Ojo
- Afe Babalola University (NG)
Moses Oluwafemi Onibonoje
- Afe Babalola University (NG)
Babatunde Segun Adejumobi
Onyilokwu Favour Nelson
- Afe Babalola University (NG)
Tyoachimin GraceSenior author
- Afe Babalola University (NG)

Fields

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

Energy Load and Power Forecastinglevel 3 · 0.40
Wind Turbine Control Systemslevel 3 · 0.25
Wind Energy Research and Developmentlevel 3 · 0.24

Sources

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

openalexseen September 9, 2026
2025 · NIPES Journal of Science and Technology Research · 0 citations
https://openalex.org/W7125606891

Evaluation of the Predictive Accuracy of Polak–Ribière Conjugate Gradient Neural Network Algorithm for the Power Output of an N117/3600 Wind Turbine · Sankore