Solar Irradiation Forecast Using Artificial Neural Networks for the City of Feira De Santana, Bahia
Year: 2024
Type: conference-paper
Abstract: " 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."
Authors: Daniel do Carmo Silva Ribeiro, Calisto Jose Da Silva Neto, Luiz Henrique Santos Silva, Jadiel Dos Santos Pereira, Jairo Cavalcanti Amaral, Consuelo Cristina Gomes Silva
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4406753063