@article{ef0089f1d28e46a5a0776ea7cb1a8ccb,
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",
language = "English",
volume = "10",
pages = "48643--48659",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
}