Neural network quantification for solar radiation prediction: An approach for low power devices
Accurate solar radiation prediction leverages various machine learning techniques, with artificial neural networks (ANN) being the most common and precise due to their ability to detect and learn relationships between meteorological variables and solar radiation. Traditionally, training and deployi...
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| Main Authors: | Brenda Alejandra Villamizar-Medina, Angelo Joseph Soto Vergel, Byron Medina-Delgado, Darwin Orlando Cardozo-Sarmiento, Dinael Guevara-Ibarra, Oriana Alexandra Lopez-Bustamante |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universidad de Santander
2025-01-01
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| Series: | AiBi Revista de Investigación, Administración e Ingeniería |
| Subjects: | |
| Online Access: | https://revistas.udes.edu.co/aibi/article/view/4107 |
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