World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
80
Citations
26203
World Ranking
525
National Ranking
241

Overview

Kwang Y. Lee is affiliated with Baylor University in the United States. Their primary field of study is Engineering, with a substantial focus on Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Energy Engineering and Power Technology, and Automotive Engineering.

The scientist's research concentrates on various advanced topics including Microgrid Control and Optimization, Advanced Control Systems Optimization, Smart Grid Energy Management, Electric Vehicles and Infrastructure, Integrated Energy Systems Optimization, Frequency Control in Power Systems, and Fault Detection and Control Systems.

Lee has co-authored work frequently with several researchers, with notable collaboration counts including Xiangjie Liu (24 publications), Xiaobing Kong (14 publications), Lele Ma (12 publications), Li Sun (12 publications), and Xiao Wu (11 publications).

Key publication venues where Lee's work appears include IFAC-PapersOnLine with 14 publications, Energies with 12 publications, Energy with 11 publications, Renewable Energy with 10 publications, and SSRN Electronic Journal with 7 publications.

Recent papers authored or co-authored by Lee highlight a range of topics related to energy systems and control strategies:

  • Integration of renewable energy sources and electric vehicles in V2G network with adjustable robust optimization (2020, Renewable Energy)
  • Wind speed forecasting using deep neural network with feature selection (2020, Neurocomputing)
  • The mutual benefits of renewables and carbon capture: Achieved by an artificial intelligent scheduling strategy (2021, Energy Conversion and Management)
  • Intelligent predictive control of large-scale solvent-based CO2 capture plant using artificial neural network and particle swarm optimization (2020, Energy)
  • Deep neural network for forecasting of photovoltaic power based on wavelet packet decomposition with similar day analysis (2023, Energy)

Best Publications

  • Diagonal recurrent neural networks for dynamic systems control

    Chao-Chee Ku;K.Y. Lee

  • Modern heuristic optimization techniques :: theory and applications to power systems

    Kwang Y. Lee;Mohamed A. El-Sharkawi

  • Short-term load forecasting using an artificial neural network

    K.Y. Lee;Y.T. Cha;J.H. Park

  • An Improved Particle Swarm Optimization for Nonconvex Economic Dispatch Problems

    Jong-Bae Park;Yun-Won Jeong;Joong-Rin Shin;K.Y. Lee

  • Economic load dispatch for piecewise quadratic cost function using Hopfield neural network

    J.H. Park;Y.S. Kim;I.K. Eom;K.Y. Lee

  • A United Approach to Optimal Real and Reactive Power Dispatch

    K. Y. Lee;Y. M. Park;J. L. Ortiz

  • Adaptive Hopfield neural networks for economic load dispatch

    K.Y. Lee;A. Sode-Yome;June Ho Park

  • An efficient simulated annealing algorithm for network reconfiguration in large-scale distribution systems

    Young-Jae Jeon;Jae-Chul Kim;Jin-O Kim;Joong-Rin Shin

  • Optimal reactive power planning using evolutionary algorithms: a comparative study for evolutionary programming, evolutionary strategy, genetic algorithm, and linear programming

    K.Y. Lee;F.F. Yang

  • Fuel-cost minimisation for both real-and reactive-power dispatches

    K.Y. Lee;Y.M. Park;J.L. Ortiz

  • Determining PV Penetration for Distribution Systems With Time-Varying Load Models

    Duong Quoc Hung;Nadarajah Mithulananthan;Kwang Y. Lee

  • An Improved Multi-Objective Harmony Search for Optimal Placement of DGs in Distribution Systems

    K. Nekooei;M. M. Farsangi;H. Nezamabadi-Pour;K. Y. Lee

  • A Comparative Study on Particle Swarm Optimization for Optimal Steady-State Performance of Power Systems

    J.G. Vlachogiannis;K.Y. Lee

  • Economic Load Dispatch—A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO

    J.G. Vlachogiannis;K.Y. Lee

  • A New Quantum-Inspired Binary PSO: Application to Unit Commitment Problems for Power Systems

    Yun-Won Jeong;Jong-Bae Park;Se-Hwan Jang;Kwang Y Lee

  • Choice of FACTS device control inputs for damping interarea oscillations

    M.M. Farsangi;Y.H. Song;K.Y. Lee

  • Boiler-turbine control system design using a genetic algorithm

    R. Dimeo;K.Y. Lee

  • Composite modeling for adaptive short-term load forecasting

    J.H. Park;Y.M. Park;K.Y. Lee

  • Multiobjective control of power plants using particle swarm optimization techniques

    J.S. Heo;K.Y. Lee;R. Garduno-Ramirez

  • Optimal placement of dispatchable and nondispatchable renewable DG units in distribution networks for minimizing energy loss

    Duong Quoc Hung;N. Mithulananthan;Kwang Y. Lee

  • Development of a stack simulation model for control study on direct reforming molten carbonate fuel cell power plant

    M.D. Lukas;K.Y. Lee;H. Ghezel-Ayagh

Frequent Co-Authors

Nadarajah Mithulananthan
Nadarajah Mithulananthan University of Queensland
Donghai Li
Donghai Li Tsinghua University
Mohamed A. El-Sharkawi
Mohamed A. El-Sharkawi University of Washington
Yijia Cao
Yijia Cao Hunan University
Ramesh C. Bansal
Ramesh C. Bansal University of Sharjah
Asok Ray
Asok Ray Pennsylvania State University
Vijay K. Varadan
Vijay K. Varadan University of Arkansas at Fayetteville
Nikos D. Hatziargyriou
Nikos D. Hatziargyriou National Technical University of Athens
Vasundara V. Varadan
Vasundara V. Varadan University of Arkansas at Fayetteville
Hoay Beng Gooi
Hoay Beng Gooi Nanyang Technological University

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