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)

Citations

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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.

   Cited by:

   1. Mengyu Li & Bin Zhong & Bingnan Guo, 2025. "Is the Energy Quota Trading Policy a Solution to the Decarbonization of Energy Consumption in China?," Sustainability, MDPI, vol. 17(14), pages 1-25, July.

2. Ávila R., Leandro & Mine, Miriam R.M. & Kaviski, Eloy & Detzel, Daniel H.M. & Fill, Heinz D. & Bessa, Marcelo R. & Pereira, Guilherme A.A., 2020. "Complementarity modeling of monthly streamflow and wind speed regimes based on a copula-entropy approach: A Brazilian case study," Applied Energy, Elsevier, vol. 259(C).

   Cited by:

   1. Zhang, Yi & Cheng, Chuntian & Cai, Huaxiang & Jin, Xiaoyu & Jia, Zebin & Wu, Xinyu & Su, Huaying & Yang, Tiantian, 2022. "Long-term stochastic model predictive control and efficiency assessment for hydro-wind-solar renewable energy supply system," Applied Energy, Elsevier, vol. 316(C).
   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. Meng, Jinyu & Dong, Zengchuan & Zhu, Shengnan, 2025. "A copula-based wind-solar complementarity coefficient: Case study of two clean energy bases, China," Energy, Elsevier, vol. 318(C).
   4. Ming, Bo & Chen, Jing & Fang, Wei & Liu, Pan & Zhang, Wei & Jiang, Jianhua, 2023. "Evaluation of stochastic optimal operation models for hydro–photovoltaic hybrid generation systems," Energy, Elsevier, vol. 267(C).
   5. Katerina Spanoudaki & Panayiotis Dimitriadis & Emmanouil A. Varouchakis & Gerald A. Corzo Perez, 2022. "Estimation of Hydropower Potential Using Bayesian and Stochastic Approaches for Streamflow Simulation and Accounting for the Intermediate Storage Retention," Energies, MDPI, vol. 15(4), pages 1-20, February.
   6. Song, Feng & Cui, Jian & Yu, Yihua, 2022. "Dynamic volatility spillover effects between wind and solar power generations: Implications for hedging strategies and a sustainable power sector," Economic Modelling, Elsevier, vol. 116(C).
   7. Li, Yan & Ming, Bo & Huang, Qiang & Wang, Yimin & Liu, Pan & Guo, Pengcheng, 2022. "Identifying effective operating rules for large hydro–solar–wind hybrid systems based on an implicit stochastic optimization framework," Energy, Elsevier, vol. 245(C).

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.

   Cited by:

   1. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • 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.
   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. 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.
   4. 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.
   5. 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.

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