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.

Deep hybrid neural net (DHN-Net) for minute-level day-ahead solar and wind power forecast in a decarbonized power system

2023Energy ReportsJournalOpen access

10.1016/j.egyr.2023.05.229 Full text15 citations

Authors

7 authors across 5 institutions in 3 countries.

Olusola BamisileFirst author
Dongsheng CaiCorresponding
Humphrey Adun
Chukwuebuka J. Ejiyi
as printed: Chukwuebuka Ejiyi
Olufunso Alowolodu
- Federal University of Technology (NG)
Benjamin O. Ezurike
- Alex Ekwueme Federal University, Ndufu-Alike (NG)
as printed: Benjamin Ezurike
Huang QiSenior author
as printed: Qi Huang

Fields

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

Energy Load and Power Forecastinglevel 3 · 1.00
Solar Radiation and Photovoltaicslevel 3 · 1.00
Electric Power System Optimizationlevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2023 · Energy Reports · 15 citations
https://openalex.org/W4380244331

Deep hybrid neural net (DHN-Net) for minute-level day-ahead solar and wind power forecast in a decarbonized power system · Sankore