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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.

Reinforcement learning-driven stochastic optimization and blockchain-enabled demand response to determine the techno-economic feasibility of hydrogen fueling stations in Australia

2026Energy ReportsJournalOpen access

10.1016/j.egyr.2025.108949 Full text7 citations

Authors

5 authors across 4 institutions in 4 countries.

Paul C. OkonkwoFirst author
Samuel Chukwujindu NwokoloCorresponding
- University of Fort Hare (ZA)
Edson L. Meyer
- University of Fort Hare (ZA)
Chinedu Christian Ahia
- University of Fort Hare (ZA)
Ibrahim B. MansirSenior author
- Ahmadu Bello University (NG)

Fields

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

Hybrid Renewable Energy Systemslevel 3 · 0.94
Integrated Energy Systems Optimizationlevel 3 · 0.03
Electric Vehicles and Infrastructurelevel 3 · 0.01

Sources

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

openalexseen September 9, 2026
2026 · Energy Reports · 7 citations
https://openalex.org/W7118682478

Reinforcement learning-driven stochastic optimization and blockchain-enabled demand response to determine the techno-economic feasibility of hydrogen fueling stations in Australia · Sankore