SOLAR IRRADIATION FORECAST USING ARTIFICIAL NEURAL NETWORKS FOR THE CITY OF FEIRA DE SANTANA, BAHIA

This study presents the integration of a meteorological station in Feira deSantana, Bahia, with artificial neural networks to predict solar irradiance. Themethodology includes the collection of climatic data, specifically temperature andhumidity data along with solar irradiance, the implementation of artificial intelligencetechniques, and the analysis of the correlation between the neural network predictionsand actual solar irradiance data. The results demonstrate the effectiveness of theneural network in capturing complex patterns in meteorological data, contributing toaccurate predictions of solar irradiance. The integration of the meteorological stationwith the ThingSpeak server enabled real-time monitoring, highlighting the importanceof technology in understanding and addressing environmental and climatic challenges.