Machine learning techniques to predict solar radiation

Volume 20 No 6 (2022)

Giancarlo Sánchez Atuncar ,Francisco Hilario Falcon

DOI: 10.14704/nq.2022.20.6.NQ22747

Abstract

The purpose of the research is to develop several machine learning models to predict UV-B radiation and determine the best algorithm, whose type of research is applied and experimental design of preexperimental type with a quantitative approach. The methodology used for the development was the KDD(Knowledge Discovery in Database) methodology which consists of the following stages:

Keywords

algorithms, solar radiation, decision tree, Close Neighbors, Logistic regression, Bayesian networks, neural networks and SVM

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