Efficient Machine Learning Models for Solar Radiation Prediction Using Ensemble Techniques: A Case Study in Low-Rainfall Arid Climates

Efficient Machine Learning Models for Solar Radiation Prediction Using Ensemble Techniques: A Case Study in Low-Rainfall Arid Climates

Solar energy is a green energy source that can be used to generate electricity, making it one of the oldest existing renewable energy sources. However, solar energy values are not always available in many areas far from urban cities, due to the high cost of purchasing and maintaining measuring instr...

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Bibliographic Details
Main Authors: Jimmy Aurelio Rosales Huamani, Uwe Rojas Villanueva, Christian Leonardo Rosales Ventocilla, Jose Luis Castillo Sequera, Jose Manuel Gomez Pulido
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Machine learning
meteorology
prediction
solar radiation
Online Access:https://ieeexplore.ieee.org/document/11036718/
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https://ieeexplore.ieee.org/document/11036718/

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