Optimized Feature Selection Based on a Least-Redundant and Highest-Relevant Framework for a Solar Irradiance Forecasting Model

Najiya Omar; Hamed Aly; Timothy Little

doi:10.1109/ACCESS.2022.3171230

Optimized Feature Selection Based on a Least-Redundant and Highest-Relevant Framework for a Solar Irradiance Forecasting Model

Najiya Omar, Hamed Aly, Timothy Little

Institutional Research Division

科研成果: 期刊稿件 › 文章 › 同行评审

8 引用（Scopus）

源语言	英语
页（从-至）	48643-48659
页数	17
期刊	IEEE Access
卷	10
DOI	https://doi.org/10.1109/ACCESS.2022.3171230
出版状态	已出版 - 2022

!!!ASJC Scopus Subject Areas

一般工程
一般材料科学
一般计算机科学

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10.1109/ACCESS.2022.3171230

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Omar, N., Aly, H., & Little, T. (2022). Optimized Feature Selection Based on a Least-Redundant and Highest-Relevant Framework for a Solar Irradiance Forecasting Model. IEEE Access, 10, 48643-48659. https://doi.org/10.1109/ACCESS.2022.3171230

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title = "Optimized Feature Selection Based on a Least-Redundant and Highest-Relevant Framework for a Solar Irradiance Forecasting Model",

keywords = "Feature importance, GHI forecasting, data perturbation, exogenous and endogenous variables, long short-term memory, random forest regression, recursive feature elimination, redundancy and relevancy measures, variance reduction",

author = "Najiya Omar and Hamed Aly and Timothy Little",

note = "Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2022",

doi = "10.1109/ACCESS.2022.3171230",

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T1 - Optimized Feature Selection Based on a Least-Redundant and Highest-Relevant Framework for a Solar Irradiance Forecasting Model

AU - Omar, Najiya

AU - Aly, Hamed

AU - Little, Timothy

PY - 2022

Y1 - 2022

KW - Feature importance

KW - GHI forecasting

KW - data perturbation

KW - exogenous and endogenous variables

KW - long short-term memory

KW - random forest regression

KW - recursive feature elimination

KW - redundancy and relevancy measures

KW - variance reduction

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M3 - Article

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JO - IEEE Access

JF - IEEE Access

ER -

Optimized Feature Selection Based on a Least-Redundant and Highest-Relevant Framework for a Solar Irradiance Forecasting Model

!!!ASJC Scopus Subject Areas

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