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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.

Time series forecasting of electrical energy consumption using deep learning algorithm

2023Nigerian Journal of Technological DevelopmentJournalOpen access

10.4314/njtd.v20i3.1424 Full text3 citations

Authors

6 authors across 3 institutions in 2 countries.

E. O. EdokaFirst author
- Ambrose Alli University (NG)
- Edo State University Uzairue (NG)
V. K. Abanihi
- Ambrose Alli University (NG)
- Edo State University Uzairue (NG)
H. E. Amhenrior
- Ambrose Alli University (NG)
- Edo State University Uzairue (NG)
E. M. J. Evbogbai
- Ambrose Alli University (NG)
- Edo State University Uzairue (NG)
L. O. Bello
- Ambrose Alli University (NG)
- Edo State University Uzairue (NG)
V. OisamojeSenior author
- Ambrose Alli University (NG)
- Edo State University Uzairue (NG)

Fields

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

Energy Load and Power Forecastinglevel 3 · 1.00
Forecasting Techniques and Applicationslevel 3 · 0.94
Stock Market Forecasting Methodslevel 3 · 0.94

Sources

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

openalexseen September 9, 2026
2023 · Nigerian Journal of Technological Development · 3 citations
https://openalex.org/W4387822394

Time series forecasting of electrical energy consumption using deep learning algorithm · Sankore