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Electronics and Electrical Engineering

D-Index
55
Citations
12762
World Ranking
2157
National Ranking
844

Research.com Recognitions

  • 2016 - IEEE Fellow For contributions to robust state estimation for power systems

Overview

Lamine Mili is affiliated with Virginia Tech in the United States and specializes in engineering with a focus on electrical and electronic engineering. Their research spans multiple subfields including control and systems engineering, statistical and nonlinear physics, artificial intelligence, and statistics, probability, and uncertainty.

Their work primarily concentrates on topics such as power system optimization and stability, optimal power flow distribution, probabilistic and robust engineering design, power system reliability and maintenance, model reduction and neural networks, energy load and power forecasting, and smart grid security and resilience.

Frequent publication venues for Lamine Mili include:

  • IEEE Transactions on Power Systems
  • arXiv (Cornell University)
  • IEEE Access
  • IEEE Transactions on Industrial Informatics
  • 2021 IEEE Power & Energy Society General Meeting (PESGM)

Lamine Mili has collaborated extensively with several coauthors, notably:

  • Yijun Xu
  • Jaber Valinejad
  • Mert Korkali
  • Junbo Zhao
  • Zongsheng Zheng

Recent papers include:

  • "Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation" (2020), IEEE Transactions on Power Systems
  • "Methods for Analysis and Quantification of Power System Resilience" (2022), IEEE Transactions on Power Systems
  • "Dynamic State Estimation for Power System Control and Protection" (2021), IEEE Transactions on Power Systems
  • "A Planning-Oriented Resilience Assessment Framework for Transmission Systems Under Typhoon Disasters" (2020), IEEE Transactions on Smart Grid
  • "A resilience assessment approach for power system from perspectives of system and component levels" (2020), International Journal of Electrical Power & Energy Systems

Lamine Mili was recognized as an IEEE Fellow in 2016 for contributions to robust state estimation for power systems.

Best Publications

  • Power system observability with minimal phasor measurement placement

    T. L. Baldwin;L. Mili;M. B. Boisen;R. Adapa

  • Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work

    Junbo Zhao;Antonio Gomez-Exposito;Marcos Netto;Lamine Mili

  • A Robust Iterated Extended Kalman Filter for Power System Dynamic State Estimation

    Junbo Zhao;Marcos Netto;Lamine Mili

  • On the definition of cyber-physical resilience in power systems

    Reza Arghandeh;Alexandra von Meier;Laura Mehrmanesh;Lamine Mili

  • Robust state estimation based on projection statistics [of power systems]

    L. Mili;M.G. Cheniae;N.S. Vichare;P.J. Rousseeuw

  • Robust Kalman Filter Based on a Generalized Maximum-Likelihood-Type Estimator

    Mital A Gandhi;Lamine Mili

  • Power system stability agents using robust wide area control

    Hui Ni;Gerald T. Heydt;Lamine Mili

  • GECO: Global Event-Driven Co-Simulation Framework for Interconnected Power System and Communication Network

    Hua Lin;S. S. Veda;S. S. Shukla;L. Mili

  • Initial review of methods for cascading failure analysis in electric power transmission systems IEEE PES CAMS task force on understanding, prediction, mitigation and restoration of cascading failures

    R. Baldick;B. Chowdhury;I. Dobson;Zhaoyang Dong

  • Hypothesis Testing Identification: A New Method For Bad Data Analysis In Power System State Estimation

    L. Mili;Th. Van Cutsem;M. Ribbens-Pavella

  • Power system and communication network co-simulation for smart grid applications

    Hua Lin;Santhoshkumar Sambamoorthy;Sandeep Shukla;James Thorp

  • Bad Data Identification Methods In Power System State Estimation-A Comparative Study

    L. Mili;Th. Van Cutsem;M. Ribbens-Pavella

  • Least median of squares estimation in power systems

    L. Mili;V. Phaniraj;P.J. Rousseeuw

  • Robust Unscented Kalman Filter for Power System Dynamic State Estimation With Unknown Noise Statistics

    Junbo Zhao;Lamine Mili

  • Electric Load Forecasting Based on Statistical Robust Methods

    Y. Chakhchoukh;P. Panciatici;L. Mili

  • Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation

    Junbo Zhao;Marcos Netto;Zhenyu Huang;Samson Shenglong Yu

  • Power System Stability Agents Using Robust Wide-Area Control

    Unknown

  • A Generalized False Data Injection Attacks Against Power System Nonlinear State Estimator and Countermeasures

    Junbo Zhao;Lamine Mili;Meng Wang

  • Catastrophic Failures in Power Systems: Causes, Analyses, and Countermeasures

    J. De La Ree;Yilu Liu;L. Mili;A.G. Phadke

  • Robust state estimation of electric power systems

    L. Mili;M.G. Cheniae;P.J. Rousseeuw

  • Composite Power System Vulnerability Evaluation to Cascading Failures Using Importance Sampling and Antithetic Variates

    Quan Chen;Lamine Mili

Frequent Co-Authors

Arun G. Phadke
Arun G. Phadke Virginia Tech
Junbo Zhao
Junbo Zhao University of Connecticut
James S. Thorp
James S. Thorp Virginia Tech
Daniel S. Kirschen
Daniel S. Kirschen University of Washington
Zhao Yang Dong
Zhao Yang Dong City University of Hong Kong
Xiao-Ping Zhang
Xiao-Ping Zhang University of Birmingham
Fangxing Li
Fangxing Li University of Tennessee at Knoxville
Zhenyu Huang
Zhenyu Huang Pacific Northwest National Laboratory
Chen-Ching Liu
Chen-Ching Liu Virginia Tech
Ian Dobson
Ian Dobson Iowa State University

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