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

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

Manuel A. Matos
Manuel A. Matos University of Porto
João Peças Lopes
João Peças Lopes University of Porto
Joao Barros
Joao Barros University of Porto
Dipti Srinivasan
Dipti Srinivasan National University of Singapore
Chanan Singh
Chanan Singh Texas A&M University
Ramesh C. Bansal
Ramesh C. Bansal University of Sharjah
Kwang Y. Lee
Kwang Y. Lee Baylor University
Narayana Prasad Padhy
Narayana Prasad Padhy Indian Institute of Technology Roorkee

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