Robust portfolio optimization for electricity planning: an application based on the Brazilian electricity mix (2017)
- Authors:
- USP affiliated authors: COSTA, OSWALDO LUIZ DO VALLE - EP ; RIBEIRO, CELMA DE OLIVEIRA - EP ; REGO, ERIK EDUARDO - EP ; STERN, JULIO MICHAEL - IME ; BARROS, VIRGINIA PARENTE DE - IEE
- Unidades: EP; IME; IEE
- DOI: 10.1016/j.eneco.2017.03.021
- Subjects: OTIMIZAÇÃO MATEMÁTICA; METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Energy Economics
- ISSN: 0140-9883
- Volume/Número/Paginação/Ano: v. 64, p. 158-169, 2017
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
COSTA, Oswaldo Luiz do Valle et al. Robust portfolio optimization for electricity planning: an application based on the Brazilian electricity mix. Energy Economics, v. 64, p. 158-169, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eneco.2017.03.021. Acesso em: 24 abr. 2024. -
APA
Costa, O. L. do V., Ribeiro, C., Rego, E. E., Stern, J. M., Barros, V. P. de, & Kileber, S. (2017). Robust portfolio optimization for electricity planning: an application based on the Brazilian electricity mix. Energy Economics, 64, 158-169. doi:10.1016/j.eneco.2017.03.021 -
NLM
Costa OL do V, Ribeiro C, Rego EE, Stern JM, Barros VP de, Kileber S. Robust portfolio optimization for electricity planning: an application based on the Brazilian electricity mix [Internet]. Energy Economics. 2017 ; 64 158-169.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.eneco.2017.03.021 -
Vancouver
Costa OL do V, Ribeiro C, Rego EE, Stern JM, Barros VP de, Kileber S. Robust portfolio optimization for electricity planning: an application based on the Brazilian electricity mix [Internet]. Energy Economics. 2017 ; 64 158-169.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.eneco.2017.03.021 - The Trade-off between demand growth and renewables: A multiperiod electricity planning model under CO2 emission constraints
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Informações sobre o DOI: 10.1016/j.eneco.2017.03.021 (Fonte: oaDOI API)
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