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ORCIDVladimiro Miranda
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2020 – today
- 2022
[j4]Julio A. D. Massignan
, João B. A. London Jr., Michel Bessani, Carlos Dias Maciel, Rodrigo Zempulski Fanucchi, Vladimiro Miranda:
Bayesian Inference Approach for Information Fusion in Distribution System State Estimation. IEEE Trans. Smart Grid 13(1): 526-540 (2022)
2010 – 2019
- 2019
- [c12]Fabian Heymann, Filipe Joel Soares, Pablo Duenas, Vladimiro Miranda:
Explorative Spatial Data Mining for Energy Technology Adoption and Policy Design Analysis. EPIA (1) 2019: 427-437 - [c11]Mario Tasso Ribeiro Serra Neto, Marco A. F. Mollinetti, Vladimiro Miranda, Leonel M. Carvalho:
Maximum Search Limitations: Boosting Evolutionary Particle Swarm Optimization Exploration. EPIA (1) 2019: 712-723 - [c10]Carolina Gil Marcelino, Carlos Eduardo Pedreira, Elizabeth F. Wanner, Leonel M. Carvalho, Vladimiro Miranda, Armando L. da Silva:
CE+EPSO: a merged approach to solve SCOPF problem. GECCO (Companion) 2019: 69-70 - 2018
- [j3]Carolina Gil Marcelino, Paulo E. M. de Almeida, Elizabeth F. Wanner, Manuel Baumann, Marcel Weil, Leonel M. Carvalho, Vladimiro Miranda:
Solving security constrained optimal power flow problems: a hybrid evolutionary approach. Appl. Intell. 48(10): 3672-3690 (2018) - [j2]João Silva, Jean Sumaili Akilimali, Ricardo J. Bessa, Luís Seca, Manuel A. Matos, Vladimiro Miranda:
The challenges of estimating the impact of distributed energy resources flexibility on the TSO/DSO boundary node operating points. Comput. Oper. Res. 96: 294-304 (2018) - 2017
- [c9]Fabian Heymann, Carlos Pereira, Vladimiro Miranda, Filipe Joel Soares:
Spatial load forecasting of electric vehicle charging using GIS and diffusion theory. ISGT Europe 2017: 1-6 - 2016
- [c8]Carolina Gil Marcelino, Paulo E. M. de Almeida, Elizabeth F. Wanner, Leonel M. Carvalho, Vladimiro Miranda:
Fundamentals of the C-DEEPSO algorithm and its application to the reactive power optimization of wind farms. CEC 2016: 1547-1554 - 2015
- [j1]Ricardo J. Bessa, Artur Trindade, Vladimiro Miranda:
Spatial-Temporal Solar Power Forecasting for Smart Grids. IEEE Trans. Ind. Informatics 11(1): 232-241 (2015) - [c7]Carolina Gil Marcelino, Leonel M. Carvalho, Paulo E. M. de Almeida, Elizabeth F. Wanner, Vladimiro Miranda:
Application of Evolutionary Multiobjective Algorithms for Solving the Problem of Energy Dispatch in Hydroelectric Power Plants. EMO (2) 2015: 403-417 - 2014
- [c6]Ricardo J. Bessa, Artur Trindade, A. Monteiro, Vladimiro Miranda, Cátia S. P. Silva:
Solar power forecasting in smart grids using distributed information. PSCC 2014: 1-7 - 2012
- [c5]Carlos Abreu Ferreira, João Gama, Vítor Santos Costa, Vladimiro Miranda, Audun Botterud:
Predicting Ramp Events with a Stream-Based HMM Framework. Discovery Science 2012: 224-238 - 2011
- [c4]Renan Silva Maciel, Antonio Padilha-Feltrin, Mauro Augusto da Rosa, Vladimiro Miranda:
A multi-objective evaluation of the impact of the penetration of Distributed Generation. ISGT Europe 2011: 1-6 - 2010
- [c3]Ricardo J. Bessa, Vladimiro Miranda, José C. Príncipe, Audun Botterud, Jun Wang:
Information theoretic learning applied to wind power modeling. IJCNN 2010: 1-8
2000 – 2009
- 2008
- [c2]Rosana Paula de Oliveira Soares, Adriana Rosa Garcez Castro, Roberto Célio Limão de Oliveira, Vladimiro Miranda:
Error Entropy and Mean Square Error Minimization Algorithms for Neural Identification of Supercritical Extraction Process. SBRN 2008: 75-80 - 2007
- [p1]Vladimiro Miranda, Hrvoje Keko, Alvaro Jaramillo:
EPSO: Evolutionary Particle Swarms. Advances in Evolutionary Computing for System Design 2007: 139-167 - 2002
- [c1]Vladimiro Miranda, Nuno Fonseca:
EPSO - best-of-two-worlds meta-heuristic applied to power system problems. IEEE Congress on Evolutionary Computation 2002: 1080-1085
Coauthor Index
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