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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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A hybrid chaotic-based discrete wavelet transform and Aquila optimisation tuned-artificial neural network approach for wind speed prediction

2022Results in EngineeringJournalOpen access

10.1016/j.rineng.2022.100399 Full text33 citations

Authors

4 authors across 2 institutions in 2 countries.

Eric Ofori-NtowFirst authorCorresponding
- University of Mines and Technology (GH)
as printed: Eric Ofori-Ntow Jnr
Yao Yevenyo Ziggah
- University of Mines and Technology (GH)
Maria Joao Rodrigues
Susana RelvasSenior author

Fields

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

Energy Load and Power Forecastinglevel 3 · 1.00
Wind Energy Research and Developmentlevel 3 · 0.99
Solar Radiation and Photovoltaicslevel 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
2022 · Results in Engineering · 33 citations
https://openalex.org/W4220764559

A hybrid chaotic-based discrete wavelet transform and Aquila optimisation tuned-artificial neural network approach for wind speed prediction · Sankore