Machine learning-based solar radiation forecasting for green hydrogen production (2025)
Albuquerque, Mateus Vasconcelos 
; Casaca, Wallace Correa de Oliveira
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science and its Applications - ICCSA. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), SISTEMAS FOTOVOLTAICOS, ENERGIA SOLAR
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ALBUQUERQUE, Mateus Vasconcelos e CASACA, Wallace Correa de Oliveira. Machine learning-based solar radiation forecasting for green hydrogen production. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-96962-1_3. Acesso em: 16 jul. 2025. , 2025APA
Albuquerque, M. V., & Casaca, W. C. de O. (2025). Machine learning-based solar radiation forecasting for green hydrogen production. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-96962-1_3NLM
Albuquerque MV, Casaca WC de O. Machine learning-based solar radiation forecasting for green hydrogen production [Internet]. Lecture Notes in Computer Science. 2025 ; 15650 35-52.[citado 2025 jul. 16 ] Available from: https://doi.org/10.1007/978-3-031-96962-1_3Vancouver
Albuquerque MV, Casaca WC de O. Machine learning-based solar radiation forecasting for green hydrogen production [Internet]. Lecture Notes in Computer Science. 2025 ; 15650 35-52.[citado 2025 jul. 16 ] Available from: https://doi.org/10.1007/978-3-031-96962-1_3
