EPSO - best-of-two-worlds meta-heuristic applied to power system problems. - Vladimiro Miranda; Nuno Fonseca (IEEE Congress on Evolutionary Computation, 2002)

EPSO: Evolutionary Particle Swarms. - Vladimiro Miranda; Hrvoje Keko; Alvaro Jaramillo (Advances in Evolutionary Computing for System Design, 2007)

Error Entropy and Mean Square Error Minimization Algorithms for Neural Identification of Supercritical Extraction Process. - Rosana Paula de Oliveira Soares; Adriana Rosa Garcez Castro; Roberto Célio Limão de Oliveira; Vladimiro Miranda (SBRN, 2008)

Information theoretic learning applied to wind power modeling. - Ricardo J. Bessa; Vladimiro Miranda; José C. Príncipe; Audun Botterud; Jun Wang (IJCNN, 2010)

A multi-objective evaluation of the impact of the penetration of Distributed Generation. - Renan Silva Maciel; Antonio Padilha-Feltrin; Mauro Augusto da Rosa; Vladimiro Miranda (ISGT Europe, 2011)

Predicting Ramp Events with a Stream-Based HMM Framework. - Carlos Abreu Ferreira; João Gama 001; Vítor Santos Costa; Vladimiro Miranda; Audun Botterud (Discovery Science, 2012)

Solar power forecasting in smart grids using distributed information. - Ricardo J. Bessa; Artur Trindade; A. Monteiro; Vladimiro Miranda; Cátia S. P. Silva (PSCC, 2014)

Application of Evolutionary Multiobjective Algorithms for Solving the Problem of Energy Dispatch in Hydroelectric Power Plants. - Carolina Gil Marcelino; Leonel M. Carvalho; Paulo E. M. de Almeida; Elizabeth F. Wanner; Vladimiro Miranda (EMO (2), 2015)

Spatial-Temporal Solar Power Forecasting for Smart Grids. - Ricardo J. Bessa; Artur Trindade; Vladimiro Miranda (IEEE Trans. Ind. Informatics, 2015)

Fundamentals of the C-DEEPSO algorithm and its application to the reactive power optimization of wind farms. - Carolina Gil Marcelino; Paulo E. M. de Almeida; Elizabeth F. Wanner; Leonel M. Carvalho; Vladimiro Miranda (CEC, 2016)

Spatial load forecasting of electric vehicle charging using GIS and diffusion theory. - Fabian Heymann; Carlos Pereira; Vladimiro Miranda; Filipe Joel Soares (ISGT Europe, 2017)

Solving security constrained optimal power flow problems: a hybrid evolutionary approach. - Carolina Gil Marcelino; Paulo E. M. de Almeida; Elizabeth F. Wanner; Manuel Baumann; Marcel Weil; Leonel M. Carvalho; Vladimiro Miranda (Appl. Intell., 2018)

The challenges of estimating the impact of distributed energy resources flexibility on the TSO/DSO boundary node operating points. - João Silva; Jean Sumaili Akilimali; Ricardo J. Bessa; Luís Seca; Manuel A. Matos; Vladimiro Miranda (Comput. Oper. Res., 2018)

Explorative Spatial Data Mining for Energy Technology Adoption and Policy Design Analysis. - Fabian Heymann; Filipe Joel Soares; Pablo Duenas; Vladimiro Miranda (EPIA (1), 2019)

Maximum Search Limitations: Boosting Evolutionary Particle Swarm Optimization Exploration. - Mario Tasso Ribeiro Serra Neto; Marco A. F. Mollinetti; Vladimiro Miranda; Leonel M. Carvalho (EPIA (1), 2019)

CE+EPSO: a merged approach to solve SCOPF problem. - Carolina Gil Marcelino; Carlos Eduardo Pedreira; Elizabeth F. Wanner; Leonel M. Carvalho; Vladimiro Miranda; Armando L. da Silva (GECCO (Companion), 2019)

Bayesian Inference Approach for Information Fusion in Distribution System State Estimation. - Julio A. D. Massignan; João B. A. London Jr.; Michel Bessani; Carlos Dias Maciel; Rodrigo Zempulski Fanucchi; Vladimiro Miranda (IEEE Trans. Smart Grid, 2022)

Long-term storage expansion planning considering uncertainty and intra-annual time series. - Tiago Abreu; Leonel M. Carvalho; Vladimiro Miranda (ISGT EUROPE, 2024)

Quantifying the Impact of Multi-area Policies on Operational Reserve Adequacy and Market Prices: a Sequential Monte Carlo-based Approach. - Inês Alves; Sanja Duvnjak Zarkovic; Leonel M. Carvalho; Vladimiro Miranda; Mauro Augusto da Rosa; Pedro Vieira (ISGT EUROPE, 2024)