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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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DEEP LEARNING ENABLED ELECTRICITY CONSUMPTION PREDICTION SYSTEM FOR HOUSEHOLDS IN OFFA USING SMART METER DATA

2026Zenodo (CERN European Organization for Nuclear Research)JournalOpen access

10.5281/zenodo.20315027 Full text0 citations

Authors

4 authors across 3 institutions in 1 country.

A.A. JIMOHFirst author
- The Federal Polytechnic, Ado-Ekiti (NG)
as printed: Jimoh, A. A
Abideen Akanni
- Federal Polytechnic Ede (NG)
as printed: Akanni, Abideen A
IROMINI N. A.
- The Federal Polytechnic, Ado-Ekiti (NG)
as printed: Iromini, N. A.
Azanubi, JohnSenior author
- Kwara State Polytechnic (NG)
- The Federal Polytechnic, Ado-Ekiti (NG)

Fields

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

Electricity Theft Detection Techniqueslevel 3 · 0.27
Energy Load and Power Forecastinglevel 3 · 0.23
Smart Grid Energy Managementlevel 3 · 0.15

Sources

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

openalexseen September 9, 2026
2026 · Zenodo (CERN European Organization for Nuclear Research) · 0 citations
https://openalex.org/W7162766089

DEEP LEARNING ENABLED ELECTRICITY CONSUMPTION PREDICTION SYSTEM FOR HOUSEHOLDS IN OFFA USING SMART METER DATA · Sankore