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...
Saved in:
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
|
Series: | AiBi Revista de Investigación, Administración e Ingeniería |
Subjects: | |
Online Access: | https://revistas.udes.edu.co/aibi/article/view/4107 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Developing a TinyML Image Classifier in an Hour
by: Riccardo Berta, et al.
Published: (2024-01-01) -
Software and Hardware Development of Madrasah Ibtidaiyah Student's Fitness Evaluation based on Hexagonal Obstacle Microcontroller (Evabugar Mikrohexo)
by: Adi Wijayanto, et al.
Published: (2023-10-01) -
Innovative Grouting Process Monitoring: Design and Implementation of a Measurement Device With Datalogger Function
by: Gabriel Gaspar, et al.
Published: (2025-01-01) -
Design of a Drowsiness Prevention Helmet with Vibration and IoT-Based Theft Detection Alarms
by: Aditya Putra Perdana Prasetyo, et al.
Published: (2024-03-01) -
Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering
by: Thommas K. S. Flores, et al.
Published: (2025-01-01)