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Electronics and Electrical Engineering

D-Index
63
Citations
14083
World Ranking
1380
National Ranking
568

Research.com Recognitions

  • 1999 - IEEE Fellow For contributions to the development and implementation of systems for automated fault analysis.

Overview

Mladen Kezunovic is affiliated with Texas A&M University in the United States, with a research focus primarily in the field of Engineering. Their work spans several subfields, notably Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Artificial Intelligence, and Signal Processing.

The main topics addressed in their research include Power System Reliability and Maintenance, Smart Grid Energy Management, Power Systems Fault Detection, Energy Load and Power Forecasting, Time Series Analysis and Forecasting, Electric Vehicles and Infrastructure, and Anomaly Detection Techniques and Applications.

Recent publications by Mladen Kezunovic include:

  • Big data analytics for future electricity grids (2020), published in Electric Power Systems Research
  • Mitigating Transformer Loss of Life and Reducing the Hazard of Failure by the Smart EV Charging (2020), published in IEEE Transactions on Industry Applications
  • Hierarchical Convolutional Neural Networks for Event Classification on PMU Measurements (2021), published in IEEE Transactions on Instrumentation and Measurement
  • Novel Fault Distance Estimation Method for Three-Terminal Transmission Line (2020), published in IEEE Transactions on Power Delivery
  • Fault Detection Utilizing Convolution Neural Network on Timeseries Synchrophasor Data From Phasor Measurement Units (2021), published in IEEE Transactions on Power Systems

Frequent publication venues for Mladen Kezunovic's work include IEEE Access, Proceedings of the Annual Hawaii International Conference on System Sciences, arXiv (Cornell University), Electric Power Systems Research, and IEEE Transactions on Industry Applications.

Notable frequent coauthors collaborating with Kezunovic are Zoran Obradović, Rashid Baembitov, Tatjana Dokic, Milad Soleimani, and Taif Mohamed.

Their career has been recognized with the IEEE Fellow award in 1999 for contributions to the development and implementation of systems for automated fault analysis.

Best Publications

  • Smart Fault Location for Smart Grids

    M Kezunovic

  • Optimized Operational Cost Reduction for an EV Charging Station Integrated With Battery Energy Storage and PV Generation

    Qin Yan;Bei Zhang;Mladen Kezunovic

  • BEVs/PHEVs as Dispersed Energy Storage for V2B Uses in the Smart Grid

    C. Pang;P. Dutta;M. Kezunovic

  • Mathematical models for current, voltage, and coupling capacitor voltage transformers

    D.A. Tziouvaras;P. McLaren;G. Alexander;D. Dawson

  • Synchronized sampling and phasor measurements for relaying and control

    A.G. Phadke;B. Pickett;M. Adamiak;M. Begovic

  • Simplified algorithms for removal of the effect of exponentially decaying DC-offset on the Fourier algorithm

    Yong Guo;M. Kezunovic;Deshu Chen

  • Fault location using the distributed parameter transmission line model

    A. Gopalakrishnan;M. Kezunovic;S.M. McKenna;D.M. Hamai

  • Automated transmission line fault analysis using synchronized sampling at two ends

    M. Kezunovic;B. Perunicic

  • The role of big data in improving power system operation and protection

    Mladen Kezunovic;Le Xie;Santiago Grijalva

  • Implementing Fuzzy Reasoning Petri-Nets for Fault Section Estimation

    Xu Luo;M. Kezunovic

  • Optimal Allocation of PV Generation and Battery Storage for Enhanced Resilience

    Bei Zhang;Payman Dehghanian;Mladen Kezunovic

  • Experimental evaluation of EMTP-based current transformer models for protective relay transient study

    M. Kezunovic;L. Kojovic;A. Abur;C.W. Fromen

  • Transmission Line Boundary Protection Using Wavelet Transform and Neural Network

    Nan Zhang;M. Kezunovic

  • Islanding Detection for Inverter-Based Distributed Generation Using Support Vector Machine Method

    Biljana Matic-Cuka;Mladen Kezunovic

  • Improved Fault Location on Distribution Feeders Based on Matching During-Fault Voltage Sags

    R.A.F. Pereira;L.G.W. da Silva;M. Kezunovic;J.R.S. Mantovani

  • Digital models of coupling capacitor voltage transformers for protective relay transient studies

    M. Kezunovic;L. Kojovic;V. Skendzic;C.W. Fromen

  • Fuzzy ART neural network algorithm for classifying the power system faults

    S. Vasilic;M. Kezunovic

  • Voltage sag data utilization for distribution fault location

    Saeed Lotfifard;Mladen Kezunovic;Mirrasoul J. Mousavi

  • Online Optimal Transmission Line Parameter Estimation for Relaying Applications

    Yuan Liao;M. Kezunovic

  • Detection of Symmetrical Faults by Distance Relays During Power Swings

    S. Lotfifard;J. Faiz;M. Kezunovic

  • Detect and classify faults using neural nets

    M. Kezunovic;I. Rikalo

  • Mathematical Models for Current, Voltage, and Coupling Capacitor Voltage Transformers Working Group C-5 of the Systems Protection Subcommittee of the IEEE Power System Relaying Committee,

    Demetrios A. Tziouvaras;Peter McLaren;George Alexander;Douglas Dawson

Frequent Co-Authors

Ali Abur
Ali Abur Northeastern University
Tarlochan S. Sidhu
Tarlochan S. Sidhu University of Ontario Institute of Technology
Vijay Vittal
Vijay Vittal Arizona State University
Thomas J. Overbye
Thomas J. Overbye Texas A&M University
Anjan Bose
Anjan Bose Washington State University
Chanan Singh
Chanan Singh Texas A&M University
Le Xie
Le Xie Texas A&M University
James S. Thorp
James S. Thorp Virginia Tech
Miroslav Begovic
Miroslav Begovic Texas A&M University
Haitham Abu-Rub
Haitham Abu-Rub Hamad bin Khalifa University

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