Hydropower generation forecast using a bayesian hierarchical model (2023)
- Authors:
- USP affiliated authors: MACIEL, CARLOS DIAS - EESC ; LONDON JUNIOR, JOAO BOSCO AUGUSTO - EESC ; CAETANO, HENRIQUE DE OLIVEIRA - EESC ; DESUÓ NETO, LUIZ - EESC ; FOGLIATTO, MATHEUS DE SOUZA SANT'ANNA - EESC
- Unidade: EESC
- DOI: 10.20906/SBAI-SBSE-2023/3963
- Assunto: ENGENHARIA ELÉTRICA
- Agências de fomento:
- Language: Português
- Imprenta:
- Publisher place: Campinas, SP
- Date published: 2023
- Source:
- Título: Proceedings SBAI2023 e SBSE2023
- Conference titles: Simpósio Brasileiro de Automação Inteligente - SBAI
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
CAETANO, Henrique de Oliveira et al. Hydropower generation forecast using a bayesian hierarchical model. 2023, Anais.. Campinas, SP: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2023. Disponível em: https://dx.doi.org/10.20906/SBAI-SBSE-2023/3963. Acesso em: 27 dez. 2025. -
APA
Caetano, H. de O., Melo, V. H. P. de, Desuó Neto, L., Fogliatto, M. de S. S. 'A., Maciel, C. D., & London Junior, J. B. A. (2023). Hydropower generation forecast using a bayesian hierarchical model. In Proceedings SBAI2023 e SBSE2023. Campinas, SP: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.20906/SBAI-SBSE-2023/3963 -
NLM
Caetano H de O, Melo VHP de, Desuó Neto L, Fogliatto M de SS'A, Maciel CD, London Junior JBA. Hydropower generation forecast using a bayesian hierarchical model [Internet]. Proceedings SBAI2023 e SBSE2023. 2023 ;[citado 2025 dez. 27 ] Available from: https://dx.doi.org/10.20906/SBAI-SBSE-2023/3963 -
Vancouver
Caetano H de O, Melo VHP de, Desuó Neto L, Fogliatto M de SS'A, Maciel CD, London Junior JBA. Hydropower generation forecast using a bayesian hierarchical model [Internet]. Proceedings SBAI2023 e SBSE2023. 2023 ;[citado 2025 dez. 27 ] Available from: https://dx.doi.org/10.20906/SBAI-SBSE-2023/3963 - Distribution systems cost reduction based on switches upgrades: a stochastic approach
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Informações sobre o DOI: 10.20906/SBAI-SBSE-2023/3963 (Fonte: oaDOI API)
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