Interpretable, Locally Trained Regression Models for Hourly Wind Speed Forecasting in Nigeria: Implications for Wind Resource Assessment in Data-Scarce Regions

SSRN Electronic Journal 2026 Preprint Open access

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Authors: Ohiozua Ohijeagbon, Adekojo Waheed, Oluseyi O. Ajayi
DOI: 10.2139/ssrn.6225638
Cited by: 0

Fields of Study & Subjects

Energy Load and Power Forecasting Wind Energy Research and Development Solar Radiation and Photovoltaics

Publication details

Journal / source
SSRN Electronic Journal
Publication date
1 January 2026
Language
EN
Document type
Preprint