Hosting Capacity Estimate Based on Photovoltaic Distributed Generation Deployment: a case study in a Campus of the University of São Paulo (2023)
- Authors:
- USP affiliated authors: BASSI, WELSON - IEE ; SAUER, ILDO LUÍS - IEE
- Unidade: IEE
- DOI: 10.3390/en16093934
- Assunto: SISTEMAS FOTOVOLTAICOS
- Language: Inglês
- Imprenta:
- Source:
- Título: Energias 2023 , 16 (9), 3934; https://doi.org/10.3390/en16093934
- Volume/Número/Paginação/Ano: v.16, n.9,p.art.3934/1-17, May.2023
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
CORDEIRO, Igor e BASSI, Welson e SAUER, Ildo Luís. Hosting Capacity Estimate Based on Photovoltaic Distributed Generation Deployment: a case study in a Campus of the University of São Paulo. Energias 2023 , 16 (9), 3934; https://doi.org/10.3390/en16093934, v. 16, n. 9, p. art.3934/1-17, 2023Tradução . . Disponível em: https://doi.org/10.3390/en16093934. Acesso em: 02 abr. 2026. -
APA
Cordeiro, I., Bassi, W., & Sauer, I. L. (2023). Hosting Capacity Estimate Based on Photovoltaic Distributed Generation Deployment: a case study in a Campus of the University of São Paulo. Energias 2023 , 16 (9), 3934; https://doi.org/10.3390/en16093934, 16( 9), art.3934/1-17. doi:10.3390/en16093934 -
NLM
Cordeiro I, Bassi W, Sauer IL. Hosting Capacity Estimate Based on Photovoltaic Distributed Generation Deployment: a case study in a Campus of the University of São Paulo [Internet]. Energias 2023 , 16 (9), 3934; https://doi.org/10.3390/en16093934. 2023 ;16( 9):art.3934/1-17.[citado 2026 abr. 02 ] Available from: https://doi.org/10.3390/en16093934 -
Vancouver
Cordeiro I, Bassi W, Sauer IL. Hosting Capacity Estimate Based on Photovoltaic Distributed Generation Deployment: a case study in a Campus of the University of São Paulo [Internet]. Energias 2023 , 16 (9), 3934; https://doi.org/10.3390/en16093934. 2023 ;16( 9):art.3934/1-17.[citado 2026 abr. 02 ] Available from: https://doi.org/10.3390/en16093934 - Power-flow simulations for integrating renewable distributed generation from biogas, photovoltaic, and small wind sources on an underground distribution feeder
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