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2020 – today
- 2025
[j5]Rafael M. Barros
, Guilherme G. Lage, Ricardo de Andrade Lira Rabelo:
Globally optimal sequencing of optimal reactive dispatch control adjustments to minimize operational losses in transmission systems by graph shortest path, parallel computing, and dynamic programming. Eur. J. Oper. Res. 320(1): 239-255 (2025)- 2022
- [j4]Rafael M. Barros, Guilherme G. Lage, Ricardo de Andrade Lira Rabelo:
Sequencing paths of optimal control adjustments determined by the optimal reactive dispatch via Lagrange multiplier sensitivity analysis. Eur. J. Oper. Res. 301(1): 373-385 (2022)
2010 – 2019
- 2019
- [j3]Ricardo B. N. M. Pinheiro, Guilherme G. Lage, Geraldo R. M. da Costa:
A primal-dual integrated nonlinear rescaling approach applied to the optimal reactive dispatch problem. Eur. J. Oper. Res. 276(3): 1137-1153 (2019) - [c3]Enza R. S. de Ferreira, Rafael M. Barros, Thiago Allison Ribeiro da Silva, Ricardo de A. L. Rabêlo, Valdemir R. Júnior, Guilherme G. Lage:
Application of a Data Communication Infrastructure for the Voltage Magnitude Control in Transmission Power Systems. SMC 2019: 4308-4315 - 2018
- [c2]Guilherme Spavieri, Diego L. Cavalca, Ricardo A. S. Fernandes, Guilherme G. Lage:
An Adaptive Individual Inertia Weight Based on Best, Worst and Individual Particle Performances for the PSO Algorithm. ICAISC (1) 2018: 536-547 - 2017
- [j2]Guilherme Spavieri, Ricardo T. M. Ferreira, Ricardo A. S. Fernandes, Guilherme G. Lage, Daniel Barbosa, Mário Oleskovicz:
Particle Swarm Optimization-based approach for parameterization of power capacitor models fed by harmonic voltages. Appl. Soft Comput. 56: 55-64 (2017) - [c1]Thiago Allison Ribeiro da Silva, Ricardo A. L. Rabêlo, Enza R. S. de Ferreira, Guilherme G. Lage:
An approach to determine a sequence of adjustments to eliminate voltage magnitude violations in transmission power systems. SMC 2017: 798-803 - 2015
- [j1]Leonel A. Laboissiere, Ricardo A. S. Fernandes, Guilherme G. Lage:
Maximum and minimum stock price forecasting of Brazilian power distribution companies based on artificial neural networks. Appl. Soft Comput. 35: 66-74 (2015)
Coauthor Index
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