Very short-term current and load forecasting for distribution systems in data constrained situations (2021)
- Authors:
- USP affiliated authors: LONDON JUNIOR, JOAO BOSCO AUGUSTO - EESC ; FERNANDES, JOSÉ PAULO RAMOS - EESC ; MASSIGNAN, JÚLIO AUGUSTO DRUZINA - EESC
- Unidade: EESC
- DOI: 10.1109/PowerTech46648.2021.9494833
- Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA; TEMPO-REAL; ENGENHARIA ELÉTRICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway, NJ, USA
- Date published: 2021
- Conference titles: IEEE Madrid PowerTech - PowerTech 2021
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
FERNANDES, José Paulo Ramos et al. Very short-term current and load forecasting for distribution systems in data constrained situations. 2021, Anais.. Piscataway, NJ, USA: IEEE, 2021. Disponível em: https://doi.org/10.1109/PowerTech46648.2021.9494833. Acesso em: 11 fev. 2026. -
APA
Fernandes, J. P. R., Massignan, J. A. D., London Junior, J. B. A., & Fanucchi, R. Z. (2021). Very short-term current and load forecasting for distribution systems in data constrained situations. In . Piscataway, NJ, USA: IEEE. doi:10.1109/PowerTech46648.2021.9494833 -
NLM
Fernandes JPR, Massignan JAD, London Junior JBA, Fanucchi RZ. Very short-term current and load forecasting for distribution systems in data constrained situations [Internet]. 2021 ;[citado 2026 fev. 11 ] Available from: https://doi.org/10.1109/PowerTech46648.2021.9494833 -
Vancouver
Fernandes JPR, Massignan JAD, London Junior JBA, Fanucchi RZ. Very short-term current and load forecasting for distribution systems in data constrained situations [Internet]. 2021 ;[citado 2026 fev. 11 ] Available from: https://doi.org/10.1109/PowerTech46648.2021.9494833 - Vulnerability of largest normalized residual test and b-test to gross errors
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Informações sobre o DOI: 10.1109/PowerTech46648.2021.9494833 (Fonte: oaDOI API)
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