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Guilherme Armando de Almeida Pereira

Personal Details

First Name:Guilherme Armando
Middle Name:de Almeida
Last Name:Pereira
Suffix:
RePEc Short-ID:ppe1100
[This author has chosen not to make the email address public]

Affiliation

Centro de Ciências Jurídicas e Econômicas
Universidade Federal do Espírito Santo

Vitória, Brazil
http://www.ccje.ufes.br/
RePEc:edi:ceufebr (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Gustavo de Andrade Melo & Paula Medina Maçaira & Fernando Luiz Cyrino Oliveira & Guilherme Armando de Almeida Pereira, 2025. "Socioeconomic Impacts of Renewable Energy Plants Through the Lens of the Triple Bottom Line," Sustainability, MDPI, vol. 17(11), pages 1-21, May.
  2. Anderson M. Iung & Fernando L. Cyrino Oliveira & Andre L. M. Marcato & Guilherme A. A. Pereira, 2025. "Evaluating the Potential of Copulas for Modeling Correlated Scenarios for Hydro, Wind, and Solar Energy," Forecasting, MDPI, vol. 7(1), pages 1-21, January.
  3. Guilherme Armando Almeida Pereira & Álvaro Veiga, 2019. "Periodic Copula Autoregressive Model Designed to Multivariate Streamflow Time Series Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(10), pages 3417-3431, August.
  4. Guilherme Armando de Almeida Pereira & Reinaldo Castro Souza, 2014. "Long Memory Models to Generate Synthetic Hydrological Series," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-8, July.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Guilherme Armando Almeida Pereira & Álvaro Veiga, 2019. "Periodic Copula Autoregressive Model Designed to Multivariate Streamflow Time Series Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(10), pages 3417-3431, August.

    Cited by:

    1. Zhaoyi Xu & Yuqing Zeng & Yangrong Xue & Shenggang Yang, 2022. "Early Warning of Chinese Yuan’s Exchange Rate Fluctuation and Value at Risk Measure Using Neural Network Joint Optimization Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1293-1315, December.
    2. Shokry Abdelaziz & Ahmed Mohamed Mahmoud Ahmed & Abdelhamid Mohamed Eltahan & Ahmed Medhat Ismail Abd Elhamid, 2023. "Long-Term Stochastic Modeling of Monthly Streamflow in River Nile," Sustainability, MDPI, vol. 15(3), pages 1-15, January.
    3. Huawei Li & Guohe Huang & Yongping Li & Jie Sun & Pangpang Gao, 2021. "A C-Vine Copula-Based Quantile Regression Method for Streamflow Forecasting in Xiangxi River Basin, China," Sustainability, MDPI, vol. 13(9), pages 1-22, April.
    4. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    5. Anderson M. Iung & Fernando L. Cyrino Oliveira & Andre L. M. Marcato & Guilherme A. A. Pereira, 2025. "Evaluating the Potential of Copulas for Modeling Correlated Scenarios for Hydro, Wind, and Solar Energy," Forecasting, MDPI, vol. 7(1), pages 1-21, January.

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