Annual Daily Irradiance Analysis of Clusters in Mexico by Machine Learning Algorithms

Annual Daily Irradiance Analysis of Clusters in Mexico by Machine Learning Algorithms

The assessment of solar resources involves the utilization of physical or satellite models for the determination of solar radiation on the Earth’s surface. However, a critical aspect of model validation necessitates comparisons against ground-truth measurements obtained from surface radiometers. Giv...

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Bibliographic Details
Main Authors: Jared D. Salinas-González, Alejandra García-Hernández, David Riveros-Rosas, Adriana E. González-Cabrera, Alejandro Mauricio-González, Carlos E. Galván-Tejada, Sodel Vázquez-Reyes, Hamurabi Gamboa-Rosales
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Remote Sensing
Subjects:
solar energy
machine learning
satellite image
clustering analysis
solar resource assessment
Online Access:https://www.mdpi.com/2072-4292/16/4/709

Internet

https://www.mdpi.com/2072-4292/16/4/709

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