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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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Feasibility design, comparative evaluation, and energy consumption prediction of standalone hybrid energy system for rural electrification in Ghana using machine learning models

2025Results in EngineeringJournalOpen access

10.1016/j.rineng.2025.104269 Full text14 citations

Authors

9 authors across 8 institutions in 5 countries.

Sufyan YakubuFirst authorCorresponding
Ravi SamikannuCorresponding
- Botswana International University of Science and Technology (BW)
Abid Yahya
- Botswana International University of Science and Technology (BW)
Irfan Anjum Badruddin
Sarfaraz Kamangar
Maruliya Begam Kadarmydeen
Maxmilian Kwarteng
Nyagong Santino David Ladu
- Rumbek University (SS)
Samuel Dodobatia WetajegaSenior author
- Bolgatanga Technical University (GH)

Fields

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

Hybrid Renewable Energy Systemslevel 3 · 1.00
Energy and Environment Impactslevel 3 · 1.00
Advanced Battery Technologies Researchlevel 3 · 1.00

Sources

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

openalexseen September 10, 2026
2025 · Results in Engineering · 14 citations
https://openalex.org/W4407205188

Feasibility design, comparative evaluation, and energy consumption prediction of standalone hybrid energy system for rural electrification in Ghana using machine learning models · Sankore