2007 - IEEE Fellow For contributions to development of computational intelligence techniques to power system applications
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.
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.
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.
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.
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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)
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)
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)
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)
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)
Intelligent System Applications in Power Engineering: Evolutionary Programming and Neural Networks
Loi Lei Lai.
Distributed Generation: Induction and Permanent Magnet Generators
L Lai;T Chan.
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)
Permanent-Magnet Machines for Distributed Power Generation: A Review
Tze-Fun Chan;L.L. Lai.
2007 IEEE Power Engineering Society General Meeting (2007)
Evolutionary programming approach to reactive power planning
J.T. Ma;L.L. Lai.
IEE Proceedings - Generation, Transmission and Distribution (1996)
Profile was last updated on December 6th, 2021.
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