Dezembro 2024 vol. 11 num. 2 - X Simpósio Internacional de Inovação e Tecnologia

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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 ;

Completo:

" This study presents the integration of a meteorological station in Feira de Santana, Bahia, with artificial neural networks to predict solar irradiance. The methodology includes the collection of climatic data, specifically temperature and humidity data along with solar irradiance, the implementation of artificial intelligence techniques, and the analysis of the correlation between the neural network predictions and actual solar irradiance data. The results demonstrate the effectiveness of the neural network in capturing complex patterns in meteorological data, contributing to accurate predictions of solar irradiance. The integration of the meteorological station with the ThingSpeak server enabled real-time monitoring, highlighting the importance of technology in understanding and addressing environmental and climatic challenges."

Completo:

" This study presents the integration of a meteorological station in Feira de Santana, Bahia, with artificial neural networks to predict solar irradiance. The methodology includes the collection of climatic data, specifically temperature and humidity data along with solar irradiance, the implementation of artificial intelligence techniques, and the analysis of the correlation between the neural network predictions and actual solar irradiance data. The results demonstrate the effectiveness of the neural network in capturing complex patterns in meteorological data, contributing to accurate predictions of solar irradiance. The integration of the meteorological station with the ThingSpeak server enabled real-time monitoring, highlighting the importance of technology in understanding and addressing environmental and climatic challenges."

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Palavras-chave: Weather data; Weather station; Neural networks; Solar irradiation; Renewable energy,

Palavras-chave: Weather data; Weather station; Neural networks; Solar irradiation; Renewable energy,

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 2357-7592, DOI 10.5151/siintec2024-388842

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