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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.

Predicting Electricity Market Price Using Machine Learning and Quantifying Dependency Beyond Renewable Energy

20242024 International Conference on Sustainable Technology and Engineering (i-COSTE)Conference

10.1109/i-coste63786.2024.11024934 Full text0 citations

Authors

5 authors across 4 institutions in 3 countries.

Daniel Agyei AsanteFirst author
Mark Tetteh
Regina Esi Turkson
- University of Cape Coast (GH)
Lucy Manu Agyei
Obadiah Denteh AsareSenior author

Fields

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

Energy Load and Power Forecastinglevel 3 · 1.00
Electric Power System Optimizationlevel 3 · 1.00
Energy Efficiency and Managementlevel 3 · 1.00

Sources

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

crossrefseen September 6, 2026
2024 · 2024 International Conference on Sustainable Technology and Engineering (i-COSTE) · 0 citations
10.1109/i-coste63786.2024.11024934
openalexseen September 5, 2026
2024 · 0 citations
https://openalex.org/W4411233506

Predicting Electricity Market Price Using Machine Learning and Quantifying Dependency Beyond Renewable Energy · Sankore