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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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Dynamic Adaptive Fusion LSTM-ANN: A Hybrid Deep Learning Framework for Efficient Solar PV Consumption Forecasting

2025Publication

10.1109/powerafrica65840.2025.11289086 Full text0 citations

Authors

3 authors.

Princess Elorm SepahFirst author
- Ashesi University (GH)
Kobena Badu Enyam
- Ashesi University (GH)
Lily Akosua Kyei-BaffourSenior author
- Ashesi University (GH)
as printed: Lily Akosua Afriyie Kyei-Baffour

Fields

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

Solar Radiation and Photovoltaicslevel 3 · 0.93
Energy Load and Power Forecastinglevel 3 · 0.04
Photovoltaic System Optimization Techniqueslevel 3 · 0.01

Sources

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

openalexseen September 5, 2026
2025 · 0 citations
https://openalex.org/W7116377343

Dynamic Adaptive Fusion LSTM-ANN: A Hybrid Deep Learning Framework for Efficient Solar PV Consumption Forecasting · Sankore