Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Improved Medium Term Approach for Load Forecasting of Nigerian Electricity Network Using Artificial Neuro-Fuzzy Inference System: A Case Study of University of Nigeria, Nsukka

2023Procedia Computer SciencePublicationOpen access

10.1016/j.procs.2023.01.232 Full text11 citations

Authors

4 authors across 3 institutions in 1 country.

Candidus U. EyaFirst author
- University of Nigeria (NG)
as printed: Candidus.U. Eya
Ayodeji Olalekan Salau
- Afe Babalola University (NG)
Sepiribo Lucky Braide
- Rivers State University (NG)
Onwe Divine ChigozirimSenior author
- University of Nigeria (NG)

Fields

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

Energy Load and Power Forecastinglevel 3 · 1.00
Smart Grid Energy Managementlevel 3 · 0.99
Power Quality and Harmonicslevel 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
2023 · Procedia Computer Science · 11 citations
https://openalex.org/W4318559721

Improved Medium Term Approach for Load Forecasting of Nigerian Electricity Network Using Artificial Neuro-Fuzzy Inference System: A Case Study of University of Nigeria, Nsukka · Sankore