D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 30 Citations 5,118 174 World Ranking 3656 National Ranking 431

Research.com Recognitions

Awards & Achievements

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Electrical engineering
  • Statistics

His primary areas of investigation include Electrical engineering, Control theory, Electric power system, Control engineering and Artificial neural network. His Control theory study combines topics in areas such as Rate of convergence, Induction generator, Voltage and Harmonic. His Voltage research focuses on subjects like Genetic algorithm, which are linked to Energy management and Simulation.

The various areas that Loi Lei Lai examines in his Electric power system study include Estimation theory, Photovoltaic system, Electronic engineering and Signal processing. His biological study spans a wide range of topics, including Fuzzy set, Fuzzy logic, Transformer oil, Dissolved gas analysis and Evolutionary programming. His Artificial neural network research integrates issues from Computational intelligence, Relay, Power-system protection, Nonlinear system and Transient.

His most cited work include:

  • Improved genetic algorithms for optimal power flow under both normal and contingent operation states (285 citations)
  • A fuzzy dissolved gas analysis method for the diagnosis of multiple incipient faults in a transformer (246 citations)
  • Real-time frequency and harmonic evaluation using artificial neural networks (217 citations)

What are the main themes of his work throughout his whole career to date?

Electric power system, Control theory, Smart grid, Artificial intelligence and Electronic engineering are his primary areas of study. His Electric power system study integrates concerns from other disciplines, such as Control engineering, Reliability engineering, Electricity generation and Mathematical optimization. As a part of the same scientific family, he mostly works in the field of Control theory, focusing on Induction generator and, on occasion, Symmetrical components.

His Smart grid course of study focuses on Renewable energy and Photovoltaic system, Electricity, Environmental economics and Wind power. His Artificial intelligence research incorporates elements of Machine learning, Computer vision and Pattern recognition. His study in Electronic engineering is interdisciplinary in nature, drawing from both Fault and Wavelet, Wavelet transform.

He most often published in these fields:

  • Electric power system (18.30%)
  • Control theory (15.46%)
  • Smart grid (14.83%)

What were the highlights of his more recent work (between 2018-2021)?

  • Photovoltaic system (6.62%)
  • Electricity (5.99%)
  • Renewable energy (9.78%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Photovoltaic system, Electricity, Renewable energy, Artificial intelligence and Microgrid. The Electricity study combines topics in areas such as Data center, Scheduling, Mathematical optimization and Energy management. His studies deal with areas such as Machine learning and Pattern recognition as well as Artificial intelligence.

His research integrates issues of Distributed generation, Control theory, Modulation, Virtual storage and Computer data storage in his study of Microgrid. His work in the fields of Control theory, such as Decoupling, intersects with other areas such as Single phase. His work is dedicated to discovering how Primary energy, Electricity generation are connected with Electric power system and other disciplines.

Between 2018 and 2021, his most popular works were:

  • A robust correlation analysis framework for imbalanced and dichotomous data with uncertainty (27 citations)
  • A Review of Technical Standards for Smart Cities (25 citations)
  • Data-Driven Short-Term Solar Irradiance Forecasting Based on Information of Neighboring Sites (25 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Electrical engineering
  • Statistics

His scientific interests lie mostly in Renewable energy, Photovoltaic system, Regression, Electricity and Air conditioning. Loi Lei Lai interconnects Database transaction, Transparency and Node, Computer network, Distributed data store in the investigation of issues within Renewable energy. The concepts of his Photovoltaic system study are interwoven with issues in Pv generation, Automotive engineering, Boost converter and Fuzzy logic.

Loi Lei Lai has included themes like Artificial neural network, Group method of data handling, Load forecasting, Data prediction and Volatility in his Regression study. His Artificial neural network study incorporates themes from Meteorology, Atmospheric model, Spatial dependence, Autoregressive model and Regression analysis. His Air conditioning research is multidisciplinary, incorporating elements of Real-time computing, Nonintrusive load monitoring, Energy market, Scheduling and Integer programming.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

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.
International Journal of Electrical Power & Energy Systems (1997)

442 Citations

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.
IEEE Transactions on Power Systems (2000)

374 Citations

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

L.L. Lai;J.T. Ma.
IEEE Transactions on Power Systems (1997)

338 Citations

Real-time frequency and harmonic evaluation using artificial neural networks

L.L. Lai;W.L. Chan;C.T. Tse;A.T.P. So.
IEEE Transactions on Power Delivery (1999)

331 Citations

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

T.F. Chan;L.L. Lai.
IEEE Transactions on Energy Conversion (2007)

252 Citations

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

Loi Lei Lai.
(1998)

207 Citations

Distributed Generation: Induction and Permanent Magnet Generators

L Lai;T Chan.
(2007)

183 Citations

Transmission loss reduction based on FACTS and bacteria foraging algorithm

M. Tripathy;S. Mishra;L. L. Lai;Q. P. Zhang.
parallel problem solving from nature (2006)

177 Citations

Permanent-Magnet Machines for Distributed Power Generation: A Review

Tze-Fun Chan;L.L. Lai.
2007 IEEE Power Engineering Society General Meeting (2007)

173 Citations

Evolutionary programming approach to reactive power planning

J.T. Ma;L.L. Lai.
IEE Proceedings - Generation, Transmission and Distribution (1996)

124 Citations

Best Scientists Citing Loi Lei Lai

Bhim Singh

Bhim Singh

Indian Institute of Technology Delhi

Publications: 61

Ajith Abraham

Ajith Abraham

Machine Intelligence Research Labs

Publications: 15

M. A. Abido

M. A. Abido

King Fahd University of Petroleum and Minerals

Publications: 15

Behnam Mohammadi-Ivatloo

Behnam Mohammadi-Ivatloo

University of Tabriz

Publications: 14

Swagatam Das

Swagatam Das

Indian Statistical Institute

Publications: 13

Zhao Xu

Zhao Xu

Hong Kong Polytechnic University

Publications: 12

Mohamed E. El-Hawary

Mohamed E. El-Hawary

Dalhousie University

Publications: 12

Osama A. Mohammed

Osama A. Mohammed

Florida International University

Publications: 10

Pierluigi Siano

Pierluigi Siano

University of Salerno

Publications: 10

Sukumar Mishra

Sukumar Mishra

Indian Institute of Technology Delhi

Publications: 8

Michael Negnevitsky

Michael Negnevitsky

University of Tasmania

Publications: 8

Masoud Karimi-Ghartemani

Masoud Karimi-Ghartemani

Mississippi State University

Publications: 8

Gary W. Chang

Gary W. Chang

National Chung Cheng University

Publications: 8

Narayana Prasad Padhy

Narayana Prasad Padhy

Indian Institute of Technology Roorkee

Publications: 7

Kwang Y. Lee

Kwang Y. Lee

Pennsylvania State University

Publications: 7

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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