Hebling, Gustavo Miranda; Massignan, Julio Augusto Druzina; London Junior, João Bosco Augusto 
; Camillo, Marcos Henrique Marçal
Source: Electric Power Systems Research. Unidade: EESC
Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, MÉTODOS NUMÉRICOS, ENGENHARIA ELÉTRICA
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HEBLING, Gustavo Miranda et al. Sparse and numerically stable implementation of a distribution system state estimation based on Multifrontal QR factorization. Electric Power Systems Research, v. 189, p. 1-7, 2020Tradução . . Disponível em: http://dx.doi.org/10.1016/j.epsr.2020.106734. Acesso em: 08 out. 2025.APA
Hebling, G. M., Massignan, J. A. D., London Junior, J. B. A., & Camillo, M. H. M. (2020). Sparse and numerically stable implementation of a distribution system state estimation based on Multifrontal QR factorization. Electric Power Systems Research, 189, 1-7. doi:10.1016/j.epsr.2020.106734NLM
Hebling GM, Massignan JAD, London Junior JBA, Camillo MHM. Sparse and numerically stable implementation of a distribution system state estimation based on Multifrontal QR factorization [Internet]. Electric Power Systems Research. 2020 ; 189 1-7.[citado 2025 out. 08 ] Available from: http://dx.doi.org/10.1016/j.epsr.2020.106734Vancouver
Hebling GM, Massignan JAD, London Junior JBA, Camillo MHM. Sparse and numerically stable implementation of a distribution system state estimation based on Multifrontal QR factorization [Internet]. Electric Power Systems Research. 2020 ; 189 1-7.[citado 2025 out. 08 ] Available from: http://dx.doi.org/10.1016/j.epsr.2020.106734
