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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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Predicting Electricity Consumption in Residential Building’s Using Deep Transfer Learning with Attention-LSTM

20222022 International Mobile and Embedded Technology Conference (MECON)Publication

10.1109/mecon53876.2022.9752382 Full text3 citations

Authors

6 authors across 2 institutions in 2 countries.

Mustapha Lawal AbdulrahmanFirst author
- Abubakar Tafawa Balewa University (NG)
Abdusalam Yau Gital
- Abubakar Tafawa Balewa University (NG)
as printed: Abdusalam Ya'u Gital
Kabiru Musa Ibrahim
- Abubakar Tafawa Balewa University (NG)
Fatima Umar Zambuk
- Abubakar Tafawa Balewa University (NG)
Ibrahim Muhammad Umar
- Abubakar Tafawa Balewa University (NG)
Zahraddeen Ismail YakubuSenior author

Fields

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

Energy Load and Power Forecastinglevel 3 · 1.00
Building Energy and Comfort Optimizationlevel 3 · 1.00
Smart Grid Energy Managementlevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2022 · 2022 International Mobile and Embedded Technology Conference (MECON) · 3 citations
https://openalex.org/W4224130742

Predicting Electricity Consumption in Residential Building’s Using Deep Transfer Learning with Attention-LSTM · Sankore