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Final Graduation Project for the Electrical Engineering degree at the Federal University of Bahia (UFBA), implementing Neural Networks and other ML algorithms for day-ahead hourly forecasting of solar irradiance (24 hours), using past and future weather data

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ml-solar-forecaster

🇧🇷 🇵🇹 Trabalho de Conclusão de Curso (TCC) de Engenharia Elétrica na Universidade Federal da Bahia (UFBA), implementando redes neurais artificiais e outros métodos de Machine Learning para a previsão de irradiância solar para as próximas 24 horas a partir de dados de medição de uma estação do INMET e dados do modelo numérico MERRA-2, disponível na plataforma NASA POWER.

🇺🇸 🇬🇧 Final Graduation Project for the Electrical Engineering degree at the Federal University of Bahia (UFBA), implementing Neural Networks and other ML algorithms for day-ahead hourly forecasting of solar irradiance (24 hours), using measurements from a local weather station from the Brazilian National Weather Institute (INMET) and data from the numerical model MERRA-2.

🇫🇷 Projet de fin d'études pour l'obtention du diplôme d'Ingénieur Génie Électrique dans l'Université Fédérale de Bahia (UFBA) sur l'implementation des réseaux neuronaux et d'autres algorithmes d'Apprentissage Machine pour la prévision des prochaines 24 heures à partir de mesures d'une station locale de l'Institut National de Météorologie du Brésil (INMET) et des données météo du modèle numérique MERRA-2.

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Final Graduation Project for the Electrical Engineering degree at the Federal University of Bahia (UFBA), implementing Neural Networks and other ML algorithms for day-ahead hourly forecasting of solar irradiance (24 hours), using past and future weather data

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