A multi-objective algorithm to determine patrol sequences for out-of-service nodes in power distribution feeders (2021)
- Authors:
- USP affiliated authors: LONDON JUNIOR, JOAO BOSCO AUGUSTO - EESC ; MACIEL, CARLOS DIAS - EESC ; DESUÓ NETO, LUIZ - EESC
- Unidade: EESC
- DOI: 10.1016/j.epsr.2021.107198
- Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA; ALGORITMOS; PROBABILIDADE
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Electric Power Systems Research
- ISSN: 0378-7796
- Volume/Número/Paginação/Ano: v. 196, 107198, 2021
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
FANUCCHI, Rodrigo Zempulski et al. A multi-objective algorithm to determine patrol sequences for out-of-service nodes in power distribution feeders. Electric Power Systems Research, v. 196, 2021Tradução . . Disponível em: http://dx.doi.org/10.1016/j.yebeh.2021.108166. Acesso em: 12 fev. 2026. -
APA
Fanucchi, R. Z., Bessani, M., Camillo, M. H. M., Desuó Neto, L., Soares, A. da S., Lima, T. W. de, et al. (2021). A multi-objective algorithm to determine patrol sequences for out-of-service nodes in power distribution feeders. Electric Power Systems Research, 196. doi:10.1016/j.epsr.2021.107198 -
NLM
Fanucchi RZ, Bessani M, Camillo MHM, Desuó Neto L, Soares A da S, Lima TW de, London Junior JBA, Dantas LB, Maciel CD. A multi-objective algorithm to determine patrol sequences for out-of-service nodes in power distribution feeders [Internet]. Electric Power Systems Research. 2021 ; 196[citado 2026 fev. 12 ] Available from: http://dx.doi.org/10.1016/j.yebeh.2021.108166 -
Vancouver
Fanucchi RZ, Bessani M, Camillo MHM, Desuó Neto L, Soares A da S, Lima TW de, London Junior JBA, Dantas LB, Maciel CD. A multi-objective algorithm to determine patrol sequences for out-of-service nodes in power distribution feeders [Internet]. Electric Power Systems Research. 2021 ; 196[citado 2026 fev. 12 ] Available from: http://dx.doi.org/10.1016/j.yebeh.2021.108166 - Stochastic indexes for power distribution systems resilience analysis
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Informações sobre o DOI: 10.1016/j.epsr.2021.107198 (Fonte: oaDOI API)
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