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About

Vladimiro Miranda was born in Porto, Portugal. He graduated in Electrical Engineering in 1977 and received the Ph.D. degree in Electrical Engineering from FEUP, the Faculty of Engineering of the University of Porto, Portugal, in 1982. He joined FEUP in 1981 and joined INESC in 1985, a top R&D institute in Portugal where he came to be coordinator of the area of Power Systems during the 90’s.

He was a member of the Board of Directors of INESC TEC, Portugal - an R&D private non-profit organization recognized by the Ministry of Science and with the University of Porto as the main associate - for 18 years until June 2018, and holds presently the following responsibilities:

  • Full Professor (Professor Catedrático) at FEUP, University of Porto, Portugal
  • Director-President of INESC P&D Brasil, an R&D private non-profit organization with headquarters in São Paulo, Brazil.
  • Associate Director at INESC TEC, International Affairs.
  • Member of the Doctoral Council of UTAD (University of Trás os Montes e Alto Douro), Portugal.

He is International Scientific Advisor for:

  • IRESEN, Agency associated to the Ministry of Energy, Morocco
  • Hong Kong Polytechnic University, China
  • Instituto de Investigación Tecnológica (Madrid), Spain
  • Instituto de Energía Eléctrica (San Juan), Argentina
  • Laboratory for Biologic and Chemical Defense of the Portuguese Army, Portugal

He was invited as Honorary Professor of the Novi Sad University, Serbia, and was President of INESC Macau, China. In 1996 and 1997 he stayed as Visiting Full Professor in the University of Macau, China. In 2005 he was Visiting Professor at the Federal University of Pará (UFPA), Brazil, and in 2015-2018 he was visiting researcher at the Federal University of Santa Catarina (UFSC), Brazil.

Prof. Miranda has been serving in the Administration Board of spin-off companies created within the INESC system. He has also served as research project evaluator for the governmental science organizations of Portugal, Norway, Croatia, South Africa, Chile, Brazil and Argentina. For the Government of this latter country, he acted as external auditor in the process of evaluation of research institutions.

He has supervised, co-supervised or cooperated in the supervision of a large number of PhD and MSc theses e power systems in several countries and universities such as in Portugal, Brazil, Argentina, Bosnia, China, Ecuador, Norway or Sweden. 

He has been responsible for many research projects at international level, in the European Union, United States and Brazil, and has authored or co-authored over 200 publications, especially in areas related with Power Systems and the application of Computational Intelligence to Power Systems.

He has been a member (at times the chairman) of the organizing or scientific committees of several important conferences in his areas of expertise such as PMAPS, ISAP, IEEE Power Tech, etc.

Prof. Miranda is an IEEE Fellow.

He is the recipient in 2013 of the IEEE Power Engineering Society Ramakumar Family Renewable Energy Excellence Award.

He is a member of the IEEE Distinguished Lecturer Program.

Curriculum LATTES:  http://lattes.cnpq.br/5824178098755298

Scopus Author ID: 35581693000  -  AuthenticusID: R-000-HPD

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Interest
Topics
Details

Details

  • Name

    Vladimiro Miranda
  • Cluster

    Power and Energy
  • Role

    Associate Director
  • Since

    01st March 1985
007
Publications

2021

Forecasting Energy Technology Diffusion in Space and Time: Model Design, Parameter Choice and Calibration

Authors
Heymann, F; vom Scheidt, F; Soares, FJ; Duenas, P; Miranda, V;

Publication
IEEE Transactions on Sustainable Energy

Abstract

2020

An orthogonal method for solving maximum correntropy-based power system state estimation

Authors
Freitas, V; Costa, AS; Miranda, V;

Publication
IET Generation, Transmission & Distribution

Abstract

2020

DER Adopter Analysis using Spatial Autocorrelation and Information Gain Ratio under different Census-data Aggregation Levels

Authors
Heymann, F; Lopes, M; vom Scheidt, F; Silva, JM; Duenas, P; Soares, FJ; Miranda, V;

Publication
IET Renewable Power Generation

Abstract

2020

Favorable properties of Interior Point Method and Generalized Correntropy in power system State Estimation

Authors
Pesteh, S; Moayyed, H; Miranda, V;

Publication
Electric Power Systems Research

Abstract
The paper provides the theoretical proof of earlier published experimental evidence of the favorable properties of a new method for State Estimation – the Generalized Correntropy Interior Point method (GCIP). The model uses a kernel estimate of the Generalized Correntropy of the error distribution as objective function, adopting Generalized Gaussian kernels. The problem is addressed by solving a constrained non-linear optimization program to maximize the similarity between states and estimated values. Solution space is searched through a special setting of a primal-dual Interior Point Method. This paper offers mathematical proof of key issues: first, that there is a theoretical shape parameter value for the kernel functions such that the feasible solution region is strictly convex, thus guaranteeing that any local solution is global or uniquely defined. Second, that a transformed system of measurement equations assures an even distribution of leverage points in the factor space of multiple regression, allowing the treatment of leverage points in a natural way. In addition, the estimated residual of GCIP model is not necessarily zero for critical (non-redundant) measurements. Finally, that the normalized residuals of critical sets are not necessarily equal in the new model, making the identification of bad data possible in these cases. © 2019 Elsevier B.V.

2020

Information Theoretic Generalized State Estimation in power systems

Authors
Meneghetti, R; Costa, AS; Miranda, V; Ascari, LB;

Publication
Electric Power Systems Research

Abstract

Supervised
thesis

2020

Integrated Renewable Storage Systems Under Artificial Intelligence Decision Models

Author
Tiago João Amorim Abreu

Institution
UP-FEUP

2020

BESO –Battery Energy Storage Optimization

Author
Miguel Francisco Ruivo Loureiro

Institution
UP-FEUP

2020

SEABASS – System Enhanced Alternatives with Battery Storage Systems

Author
Ricardo Jorge Novais da Costa

Institution
UP-FEUP

2020

Technology diffusion models in power system planning and policy design

Author
Fabian Heymann

Institution
UP-FEUP

2020

Improving solar power forecasting through advanced feature engineering

Author
Rui Manuel Gonçalves do Couto

Institution
UP-FEUP