Blucher Engineering Proceedings

Dezembro 2024, vol.11, num.2 - X Simpósio Internacional de Inovação e Tecnologia
Full Article - Open Access Idioma principal | Segundo principal

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

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

Ribeiro, Daniel do Carmo Silva; Silva Neto, Calisto Jose Da; Silva, Luiz Henrique Santos; Pereira, Jadiel Dos Santos; Amaral, Jairo Cavalcanti; Silva, Consuelo Cristina Gomes

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" 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."

" 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."

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DOI: 10.5151/siintec2024-388842

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Como citar:

Ribeiro, Daniel do Carmo Silva; Silva Neto, Calisto Jose Da; Silva, Luiz Henrique Santos; Pereira, Jadiel Dos Santos; Amaral, Jairo Cavalcanti; Silva, Consuelo Cristina Gomes; "SOLAR IRRADIATION FORECAST USING ARTIFICIAL NEURAL NETWORKS FOR THE CITY OF FEIRA DE SANTANA, BAHIA", p-741-747. In: . São Paulo: Blucher, 2024.
ISSN 23577592, DOI 10.5151/siintec2024-388842

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