World's Best Scientists 2026 revealed!
Vladimiro Miranda

Vladimiro Miranda

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Electronics and Electrical Engineering
Portugal
2026
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Engineering and Technology
Portugal
2022

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
54
Citations
10660
World Ranking
2300
National Ranking
11

Vladimiro Miranda publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Vladimiro Miranda sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 232 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Vladimiro Miranda D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Vladimiro Miranda sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 54 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Portugal Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Portugal Leader Award
  • 2022 - Research.com Engineering and Technology in Portugal Leader Award
  • 2006 - IEEE Fellow For contributions to computational intelligence tools in electric power systems.

Overview

Vladimiro Miranda is affiliated with the University of Porto in Portugal. Their research expertise lies predominantly within the field of engineering, with a particular focus on electrical and electronic engineering, control and systems engineering, civil and structural engineering, computational mechanics, and renewable energy, sustainability, and the environment.

The scientist has produced a significant body of work related to power system optimization and stability, smart grid energy management, water systems and optimization, microgrid control and optimization, advanced adaptive filtering techniques, energy load and power forecasting, and energy, environment, and transportation policies.

Frequent coauthors in their publications include Júlio A. D. Massignan, J. London, Michel Bessani, Carlos Dias Maciel, and Rodrigo Z. Fannucchi.

Vladimiro Miranda has contributed to several journals and venues throughout their career. The most frequent publication venues include:

  • Revista fisio&terapia.
  • IET Generation Transmission & Distribution
  • IEEE Transactions on Smart Grid
  • International Journal of Hydrogen Energy
  • Journal of Modern Power Systems and Clean Energy

Some of their recent published papers are:

  • "Bayesian Inference Approach for Information Fusion in Distribution System State Estimation," 2021, IEEE Transactions on Smart Grid
  • "Tracking Power System State Evolution with Maximum-correntropy-based Extended Kalman Filter," 2020, Journal of Modern Power Systems and Clean Energy
  • "Virtual power plant optimal dispatch considering power-to-hydrogen systems," 2024, International Journal of Hydrogen Energy
  • "Forecasting Energy Technology Diffusion in Space and Time: Model Design, Parameter Choice and Calibration," 2020, IEEE Transactions on Sustainable Energy
  • "A Data-Driven Approach to Estimate the Flexibility Maps in Multiple TSO-DSO Connections," 2022, IEEE Transactions on Power Systems

Their work often addresses challenges in the integration and management of electrical power systems and explores methods for enhancing the accuracy and efficiency of system state estimation and control. Contributions also span forecasting technological diffusion and energy system flexibility.

In 2006, Vladimiro Miranda received the IEEE Fellow award for contributions to computational intelligence tools in electric power systems.

Best Publications

  • Genetic algorithms in optimal multistage distribution network planning

    V. Miranda;J.V. Ranito;L.M. Proenca

  • Wind power forecasting : state-of-the-art 2009.

    C. Monteiro;R. Bessa;V. Miranda;A. Botterud

  • Wind power forecasting uncertainty and unit commitment

    J. Wang;A. Botterud;R. Bessa;H. Keko

  • EPSO-evolutionary particle swarm optimization, a new algorithm with applications in power systems

    V. Miranda;N. Fonseca

  • EPSO - best-of-two-worlds meta-heuristic applied to power system problems

    V. Miranda;N. Fonseca

  • Evolutionary computation in power systems

    Vladimiro Miranda;Dipti Srinivasan;LM Proença

  • Estimating the Active and Reactive Power Flexibility Area at the TSO-DSO Interface

    Joao Silva;Jean Sumaili;Ricardo J. Bessa;Luis Seca

  • Fuzzy modelling of power system optimal load flow

    V. Miranda;J.P. Saraiva

  • Economic dispatch model with fuzzy wind constraints and attitudes of dispatchers

    V. Miranda;Pun Sio Hang

  • Entropy and Correntropy Against Minimum Square Error in Offline and Online Three-Day Ahead Wind Power Forecasting

    R.J. Bessa;V. Miranda;J. Gama

  • Wind Power Trading Under Uncertainty in LMP Markets

    A. Botterud;Zhi Zhou;Jianhui Wang;R. J. Bessa

  • Time-adaptive quantile-copula for wind power probabilistic forecasting

    Ricardo J. Bessa;V. Miranda;A. Botterud;Z. Zhou

  • Time Adaptive Conditional Kernel Density Estimation for Wind Power Forecasting

    R. J. Bessa;V. Miranda;A. Botterud;Jianhui Wang

  • Fuzzy Load Flow - New Algorithms Incorporating Uncertain Generation and Load Representation

    João Tomé Saraiva;Vladimiro Miranda;Manuel Matos

  • Demand Dispatch and Probabilistic Wind Power Forecasting in Unit Commitment and Economic Dispatch: A Case Study of Illinois

    A. Botterud;Zhi Zhou;Jianhui Wang;J. Sumaili

  • Spatial-Temporal Solar Power Forecasting for Smart Grids

    Ricardo J. Bessa;Artur Trindade;Vladimiro Miranda

  • Probabilistic choice vs. risk analysis-conflicts and synthesis in power system planning

    V. Miranda;L.M. Proenca

  • Why risk analysis outperforms probabilistic choice as the effective decision support paradigm for power system planning

    V. Miranda;L.M. Proenca

  • Probabilistic solar power forecasting in smart grids using distributed information

    R.J. Bessa;A. Trindade;Cátia S.P. Silva;V. Miranda

  • Knowledge discovery in neural networks with application to transformer failure diagnosis

    A.R.G. Castro;V. Miranda

  • NEW EVOLUTIONARY PARTICLE SWARM ALGORITHM (EPSO) APPLIED TO VOLTAGE/VAR CONTROL

    Vladimiro Miranda;Fonseca Nuno

  • Improving the IEC table for transformer failure diagnosis with knowledge extraction from neural networks

    V. Miranda;A.R.G. Castro

  • Promotion of new wind farms based on a decision support system

    Ignacio J. Ramírez-Rosado;Eduardo García-Garrido;L. Alfredo Fernández-Jiménez;Pedro J. Zorzano-Santamaría

  • Multiobjective optimization applied to maintenance policy for electrical networks

    P. Hilber;V. Miranda;M. Matos;L. Bertling

  • Reconstructing Missing Data in State Estimation With Autoencoders

    V. Miranda;J. Krstulovic;H. Keko;C. Moreira

  • Wind power forecasting in U.S. Electricity markets

    Audun Botterud;Jianhui Wang;Vladimiro Miranda;Ricardo J. Bessa

  • Generation/transmission power system reliability evaluation by Monte-Carlo simulation assuming a fuzzy load description

    J.T. Saraiva;V. Miranda;L.M.V.G. Pinto

  • GIS spatial analysis applied to electric line routing optimization

    C. Monteiro;I.J. Ramirez-Rosado;V. Miranda;P.J. Zorzano-Santamaria

  • Fuzzy inference in spatial load forecasting

    V. Miranda;C. Monteiro

Frequent Co-Authors

Ricardo J. Bessa
Ricardo J. Bessa University of Porto
Manuel A. Matos
Manuel A. Matos University of Porto
Jose Luis Santos
Jose Luis Santos University of Porto
Orlando Frazão
Orlando Frazão Institute for Systems and Computer Engineering of Porto
João Peças Lopes
João Peças Lopes University of Porto
João Gama
João Gama University of Porto
Luís Ferreira
Luís Ferreira Instituto Superior Técnico
Joao Barros
Joao Barros University of Porto
Jose C. Principe
Jose C. Principe University of Florida

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Related Online Degrees & Career Pathways

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Additionally, professionals may consider advancing their qualifications through an accelerated project management degree online, which equips them with leadership skills essential for managing complex engineering projects efficiently.

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