Multivariate Analysis for Solar Resource Assessment Using Unsupervised Learning on Images from the GOES-13 Satellite

Multivariate Analysis for Solar Resource Assessment Using Unsupervised Learning on Images from the GOES-13 Satellite

Solar resource assessment is of paramount importance in the planning of solar energy applications. Solar resources are abundant and characterization is essential for the optimal design of a system. Solar energy is estimated, indirectly, by the processing of satellite images. Several analyses with sa...

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Bibliographic Details
Main Authors: Salinas-González, Jared D., García-Hernández, Alejandra, Riveros-Rosas, David, Moreno-Chávez, Gamaliel, Zarzalejo, Luis F., Alonso Montesinos, Joaquín Blas, Galván-Tejada, Carlos E., Mauricio-González, Alejandro, González-Cabrera, Adriana E.
Format: info:eu-repo/semantics/article
Language:English
Published: MDPI 2022
Subjects:
solar resource assessment
clustering analysis
satellite images
climatic features
unsupervised learning
solar energy
Online Access:http://hdl.handle.net/10835/13686

Internet

http://hdl.handle.net/10835/13686

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