Subjects: ALGORITMOS, DESENVOLVIMENTO SUSTENTÁVEL, INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS
ABNT
ABUBAKAR, Ahmad. A novel hybrid optimization approach for fault detection in PV arrays and inverters using AI and statistical learning techniques. 2024. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2024. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3143/tde-16102024-065858/pt-br.php. Acesso em: 19 nov. 2024.APA
Abubakar, A. (2024). A novel hybrid optimization approach for fault detection in PV arrays and inverters using AI and statistical learning techniques (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3143/tde-16102024-065858/pt-br.phpNLM
Abubakar A. A novel hybrid optimization approach for fault detection in PV arrays and inverters using AI and statistical learning techniques [Internet]. 2024 ;[citado 2024 nov. 19 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3143/tde-16102024-065858/pt-br.phpVancouver
Abubakar A. A novel hybrid optimization approach for fault detection in PV arrays and inverters using AI and statistical learning techniques [Internet]. 2024 ;[citado 2024 nov. 19 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3143/tde-16102024-065858/pt-br.php