World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
51
Citations
10720
World Ranking
2654
National Ranking
439

Research.com Recognitions

  • 2007 - IEEE Fellow For contributions to development of computational intelligence techniques to power system applications

Overview

Loi Lei Lai is affiliated with Guangdong University of Technology in China and specializes in the field of Engineering, with a significant focus on Electrical and Electronic Engineering and related subfields. Their research encompasses topics including Microgrid Control and Optimization, Smart Grid Energy Management, Energy Load and Power Forecasting, Optimal Power Flow Distribution, Solar Radiation and Photovoltaics, Electric Vehicles and Infrastructure, and Islanding Detection in Power Systems.

The scientist has published extensively in several journals, with frequent publication venues including:

  • IEEE Transactions on Smart Grid
  • Energies
  • International Journal of Electrical Power & Energy Systems
  • Energy
  • Applied Energy

Loi Lei Lai has collaborated frequently with several co-authors, such as:

  • Chun Sing Lai
  • Zhuoli Zhao
  • Haoliang Yuan
  • Ping Yang
  • Qiang Ni

Selected recent publications include:

  • "A Review of Technical Standards for Smart Cities" (2020), published in Clean Technologies
  • "Distributed Robust Model Predictive Control-Based Energy Management Strategy for Islanded Multi-Microgrids Considering Uncertainty" (2022), published in IEEE Transactions on Smart Grid
  • "A novel fast-charging stations locational planning model for electric bus transit system" (2021), published in Energy
  • "A review on long-term electrical power system modeling with energy storage" (2020), published in Journal of Cleaner Production
  • "Optimal sizing of battery energy storage system in smart microgrid considering virtual energy storage system and high photovoltaic penetration" (2020), published in Journal of Cleaner Production

The main areas of study under Loi Lei Lai's research scope include:

  • Engineering

Within Engineering, subfields explored are:

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Energy Engineering and Power Technology

Primary research topics covered extensively are:

  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Energy Load and Power Forecasting
  • Optimal Power Flow Distribution
  • Solar Radiation and Photovoltaics
  • Electric Vehicles and Infrastructure
  • Islanding Detection in Power Systems

Loi Lei Lai received the IEEE Fellow award in 2007 for contributions to the development of computational intelligence techniques applied to power system applications.

Best Publications

  • Improved genetic algorithms for optimal power flow under both normal and contingent operation states

    L.L. Lai;J.T. Ma;R. Yokoyama;M. Zhao

  • A fuzzy dissolved gas analysis method for the diagnosis of multiple incipient faults in a transformer

    Q. Su;C. Mi;L.L. Lai;P. Austin

  • Real-time frequency and harmonic evaluation using artificial neural networks

    L.L. Lai;W.L. Chan;C.T. Tse;A.T.P. So

  • Application of evolutionary programming to reactive power planning-comparison with nonlinear programming approach

    L.L. Lai;J.T. Ma

  • A Review of Technical Standards for Smart Cities

    Chun Sing Lai;Youwei Jia;Zhekang Dong;Dongxiao Wang

  • An Axial-Flux Permanent-Magnet Synchronous Generator for a Direct-Coupled Wind-Turbine System

    T.F. Chan;L.L. Lai

  • A comprehensive review on large-scale photovoltaic system with applications of electrical energy storage

    Chun Sing Lai;Chun Sing Lai;Youwei Jia;Loi Lei Lai;Zhao Xu

  • Distributed Robust Model Predictive Control-Based Energy Management Strategy for Islanded Multi-Microgrids Considering Uncertainty

    Unknown

  • Intelligent System Applications in Power Engineering: Evolutionary Programming and Neural Networks

    Loi Lei Lai

  • Two-stage energy management for networked microgrids with high renewable penetration

    Dongxiao Wang;Jing Qiu;Luke Reedman;Ke Meng

  • Distributed Generation: Induction and Permanent Magnet Generators

    L Lai;T Chan

  • Permanent-Magnet Machines for Distributed Power Generation: A Review

    Tze-Fun Chan;L.L. Lai

  • Transmission loss reduction based on FACTS and bacteria foraging algorithm

    M. Tripathy;S. Mishra;L. L. Lai;Q. P. Zhang

  • Hybrid Wavelet and Hilbert Transform With Frequency-Shifting Decomposition for Power Quality Analysis

    N. C. F. Tse;J. Y. C. Chan;Wing-Hong Lau;Loi Lei Lai

  • Evolutionary programming approach to reactive power planning

    J.T. Ma;L.L. Lai

  • Stand alone intelligent digital distance relay

    K.K. Li;L.L. Lai;A.K. David

  • A novel fast-charging stations locational planning model for electric bus transit system

    Xiaomei Wu;Qijin Feng;Chenchen Bai;Chun Sing Lai;Chun Sing Lai

  • An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization

    Hao Yin;Zhen Dong;Yunlong Chen;Jiafei Ge

  • Levelized cost of electricity for photovoltaic/biogas power plant hybrid system with electrical energy storage degradation costs

    CS Lai;CS Lai;CS Lai;Y Jia;Z Xu;LL Lai

  • Investigation on July 2012 Indian blackout

    Loi Lei Lai;Hao Tian Zhang;Chun Sing Lai;Fang Yuan Xu

  • Harmonics load signature recognition by wavelets transforms

    W.L. Chan;A.T.P. So;L.L. Lai

  • A new travelling-wave based scheme for fault detection on overhead power distribution feeders

    M. El-Hami;L.L. Lai;D.J. Daruvala;A.T. Johns

Frequent Co-Authors

Zhao Xu
Zhao Xu Hong Kong Polytechnic University
Kit Po Wong
Kit Po Wong University of Western Australia
Ke Meng
Ke Meng University of New South Wales
Sukumar Mishra
Sukumar Mishra Indian Institute of Technology Delhi
Henry Shu-Hung Chung
Henry Shu-Hung Chung City University of Hong Kong
Ahmed F. Zobaa
Ahmed F. Zobaa Brunel University London
Zhao Yang Dong
Zhao Yang Dong City University of Hong Kong
Mohammad Shahidehpour
Mohammad Shahidehpour Illinois Institute of Technology
Fushuan Wen
Fushuan Wen Zhejiang University
Fangxing Li
Fangxing Li University of Tennessee at Knoxville

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