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.

An artificial intelligence‐based non‐intrusive load monitoring of energy consumption in an electrical energy system using a modified K‐Nearest Neighbour algorithm

2024IET Smart CitiesJournalOpen access

10.1049/smc2.12075 Full text18 citations

Authors

6 authors.

Benjamin KommeyFirst authorCorresponding
- Kwame Nkrumah University of Science and Technology (GH)
Elvis Tamakloe
- Kwame Nkrumah University of Science and Technology (GH)
Jerry John Kponyo
- Kwame Nkrumah University of Science and Technology (GH)
Eric Tutu Tchao
- Kwame Nkrumah University of Science and Technology (GH)
Andrew Selasi Agbemenu
- Kwame Nkrumah University of Science and Technology (GH)
Henry Nunoo‐MensahSenior author
- Kwame Nkrumah University of Science and Technology (GH)

Fields

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

Smart Grid Energy Managementlevel 3 · 1.00
Energy Load and Power Forecastinglevel 3 · 1.00
Energy Efficiency and Managementlevel 3 · 1.00

Sources

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

openalexseen September 5, 2026
2024 · IET Smart Cities · 18 citations
https://openalex.org/W4391170553

An artificial intelligence‐based non‐intrusive load monitoring of energy consumption in an electrical energy system using a modified K‐Nearest Neighbour algorithm · Sankore