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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 and Determining Faults Using Deep Learning on the 161kV Transmission Line from Aboadze Thermal Power Station to New Obuasi, Ghana

2024International Journal of Research PublicationsJournalOpen access

10.47119/ijrp1001521720246892 Full text0 citations

Authors

4 authors.

David Laud Amenyo FiaseFirst author
- Regent University College of Science and Technology (GH)
as printed: DAVID LAUD AMENYO FIASE
KWADWO OPOKU ATTAH
- Regent University College of Science and Technology (GH)
Prince Sackey
SAMUEL LARTEYSenior authorCorresponding
- Regent University College of Science and Technology (GH)

Fields

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

Power Systems Fault Detectionlevel 3 · 1.00
Power System Reliability and Maintenancelevel 3 · 0.99
Electricity Theft Detection Techniqueslevel 3 · 0.99

Sources

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

openalexseen September 5, 2026
2024 · International Journal of Research Publications · 0 citations
https://openalex.org/W4400317349

Predicting and Determining Faults Using Deep Learning on the 161kV Transmission Line from Aboadze Thermal Power Station to New Obuasi, Ghana · Sankore