Assessment of power law limitations and hub-height wind speed estimation using machine learning techniques in a tropical location

Assessment of power law limitations and hub-height wind speed estimation using machine learning techniques in a tropical location, Ogunjo, Samuel Toluwalope, Ijila, Itunu, Ojo, Olusola Samuel, Adediji, Adekunle

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Publication Details

Journal
Machine Learning Earth
Published
2026-03-03
DOI
https://doi.org/10.1088/3049-4753/ae4c8d
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
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article

Assessment of power law limitations and hub-height wind speed estimation using machine learning techniques in a tropical location

Itunu Ijila, Adekunle Adediji, Olusola Samuel Ojo, Samuel Toluwalope Ogunjo
Machine Learning Earth
Energy Load and Power Forecasting
article

Assessment of power law limitations and hub-height wind speed estimation using machine learning techniques in a tropical location

Itunu Ijila, Adekunle Adediji, Olusola Samuel Ojo, Samuel Toluwalope Ogunjo
article en

Abstract

Assessment of power law limitations and hub-height wind speed estimation using machine learning techniques in a tropical location, Ogunjo, Samuel Toluwalope, Ijila, Itunu, Ojo, Olusola Samuel, Adediji, Adekunle

Machine Learning EarthVol. 2(1)
Federal University of Technology (NG), University of Hull (GB)
Affordable and clean energy
Openalex Percentile: Top 38%
Energy Load and Power Forecasting
DOIOpen Access PDFOpenAlex
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Assessment of power law limitations and hub-height wind speed estimation using machine learning techniques in a tropical location — Itunu Ijila, Adekunle Adediji, et al. · Machine Learning Earth (2026) | TGRS Research Map | TGRS