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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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STATE-OF-THE-ART DEEP LEARNING APPROACHES FOR PREDICTIVE ANALYTICS IN RENEWABLE ENERGY DEMAND FORECASTING

2025Acta Electronica MalaysiaJournalOpen access

10.26480/aem.02.2025.36.42 Full text0 citations

Authors

6 authors across 3 institutions in 2 countries.

Bashiru Olalekan AriyoFirst author
- University of Ilorin (NG)
- Kwara State University (NG)
Lambe Mutalub Adesina
- Kwara State University (NG)
Olalekan Ogunbiyi
- Kwara State University (NG)
Abdulwaheed Musa
- University of Johannesburg (ZA)
- Kwara State University (NG)
Bilkisu Jimada-Ojuolape
as printed: Bilkisu Jimada Ojuolape
Monsurat Omolara BalogunSenior author
- Kwara State University (NG)

Fields

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

Energy Load and Power Forecastinglevel 3 · 0.97
Smart Grid Energy Managementlevel 3 · 0.01
Integrated Energy Systems Optimizationlevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2025 · Acta Electronica Malaysia · 0 citations
https://openalex.org/W7123616667

STATE-OF-THE-ART DEEP LEARNING APPROACHES FOR PREDICTIVE ANALYTICS IN RENEWABLE ENERGY DEMAND FORECASTING · Sankore