What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Statistics
- Microeconomics
Lei Wu mainly investigates Mathematical optimization, Electric power system, Integer programming, Power system simulation and Robustness.
In the field of Mathematical optimization, his study on Linear programming overlaps with subjects such as Financial risk.
His Electric power system study combines topics in areas such as Scheduling, Reliability engineering and Smart grid.
As a member of one scientific family, Lei Wu mostly works in the field of Integer programming, focusing on Stochastic modelling and, on occasion, Optimization problem and Lagrangian relaxation.
His studies deal with areas such as Stochastic programming and Renewable energy as well as Power system simulation.
His work focuses on many connections between Robustness and other disciplines, such as Electricity, that overlap with his field of interest in Wind power and Probabilistic logic.
His most cited work include:
- Stochastic Security-Constrained Unit Commitment (611 citations)
- Real-Time Price-Based Demand Response Management for Residential Appliances via Stochastic Optimization and Robust Optimization (518 citations)
- Hourly Coordination of Electric Vehicle Operation and Volatile Wind Power Generation in SCUC (283 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Mathematical optimization, Electric power system, Power system simulation, Electricity and Renewable energy.
His Mathematical optimization study deals with Robustness intersecting with Robust optimization.
His Electric power system research is multidisciplinary, incorporating perspectives in Wind power, Reliability engineering, Smart grid and Control theory.
Lei Wu focuses mostly in the field of Reliability engineering, narrowing it down to topics relating to Microgrid and, in certain cases, Distributed generation.
The concepts of his Power system simulation study are interwoven with issues in Benders' decomposition, Stochastic process, Stochastic programming, Lagrangian relaxation and Operations research.
In general Electricity study, his work on Demand response often relates to the realm of Distribution system, thereby connecting several areas of interest.
He most often published in these fields:
- Mathematical optimization (47.21%)
- Electric power system (31.98%)
- Power system simulation (21.83%)
What were the highlights of his more recent work (between 2019-2021)?
- Mathematical optimization (47.21%)
- Electricity (20.30%)
- Renewable energy (12.69%)
In recent papers he was focusing on the following fields of study:
His main research concerns Mathematical optimization, Electricity, Renewable energy, Electric power system and Scheduling.
His Mathematical optimization research incorporates themes from Robustness and Economic dispatch.
His study looks at the intersection of Economic dispatch and topics like Linear programming with AC power, Power system simulation and Integer programming.
His work on Demand response as part of general Electricity research is frequently linked to Procurement, thereby connecting diverse disciplines of science.
His Renewable energy research is multidisciplinary, incorporating elements of Reliability engineering and Reduction.
His Electric power system research includes themes of Wind power, Particle swarm optimization, Parallel computing, Jacobian matrix and determinant and Nonlinear system.
Between 2019 and 2021, his most popular works were:
- D-PMU based applications for emerging active distribution systems: A review (17 citations)
- A novel smart meter data compression method via stacked convolutional sparse auto-encoder (13 citations)
- Energy Flow Optimization for Integrated Power–Gas Generation and Transmission Systems (12 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Mathematical optimization
- Microeconomics
Lei Wu spends much of his time researching Wind power, Electric power system, Mathematical optimization, Renewable energy and Distribution system.
His Wind power research incorporates elements of Electricity, Particle swarm optimization, Swarm behaviour, Chaotic and Robustness.
The Electric power system study combines topics in areas such as Computational complexity theory, Instruction set, Parallel computing, Jacobian matrix and determinant and Smart grid.
His Mathematical optimization research focuses on Differential evolution in particular.
His Differential evolution research is multidisciplinary, relying on both Energy conservation, Scheduling, Optimization problem and Multi-objective optimization.
His work carried out in the field of Renewable energy brings together such families of science as Asset, Headroom, Power system simulation, State of charge and Heuristic.
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