What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Mathematical optimization
- Voltage
The scientist’s investigation covers issues in Electric power system, Mathematical optimization, Wind power, Electricity and Control theory.
The study incorporates disciplines such as Reliability engineering, Electricity market, Grid, Microeconomics and Demand response in addition to Electric power system.
His biological study spans a wide range of topics, including Electric vehicle and Tariff.
The Wind power study combines topics in areas such as Gradient method and Energy storage.
He has researched Electricity in several fields, including Mathematical economics, Volatility, Econometrics, Renewable energy and Price elasticity of supply.
Qiuwei Wu has included themes like Turbine, AC power, Model predictive control and Power control in his Control theory study.
His most cited work include:
- Review of energy storage system for wind power integration support (575 citations)
- Distribution Locational Marginal Pricing for Optimal Electric Vehicle Charging Management (238 citations)
- Distribution Locational Marginal Pricing Through Quadratic Programming for Congestion Management in Distribution Networks (165 citations)
What are the main themes of his work throughout his whole career to date?
Qiuwei Wu mostly deals with Control theory, Electric power system, Wind power, Mathematical optimization and AC power.
His research integrates issues of Turbine, Model predictive control and Voltage in his study of Control theory.
His Electric power system research is multidisciplinary, relying on both Electricity, Electrical engineering, Electric vehicle, Reliability engineering and Grid.
His Wind power research incorporates themes from Control engineering, Heating system and Renewable energy.
His work deals with themes such as Linearization, Robustness and Tariff, which intersect with Mathematical optimization.
Qiuwei Wu works mostly in the field of AC power, limiting it down to topics relating to Distributed generation and, in certain cases, Distributed computing.
He most often published in these fields:
- Control theory (35.31%)
- Electric power system (31.07%)
- Wind power (30.79%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (35.31%)
- Wind power (30.79%)
- Mathematical optimization (21.47%)
In recent papers he was focusing on the following fields of study:
His main research concerns Control theory, Wind power, Mathematical optimization, AC power and Electric power system.
His Control theory research is multidisciplinary, incorporating perspectives in Turbine, Energy storage, Model predictive control and Voltage.
His Wind power study combines topics from a wide range of disciplines, such as Power system simulation, Automatic frequency control, Rotor, Heating system and Renewable energy.
Qiuwei Wu combines subjects such as Linearization and Robustness with his study of Mathematical optimization.
His studies deal with areas such as Optimal control, Quadratic programming, Voltage regulation, Optimization problem and Induction generator as well as AC power.
When carried out as part of a general Electric power system research project, his work on Economic dispatch is frequently linked to work in Wind speed, therefore connecting diverse disciplines of study.
Between 2019 and 2021, his most popular works were:
- Distributed Multi-Energy Operation of Coupled Electricity, Heating, and Natural Gas Networks (75 citations)
- Local flexibility markets: Literature review on concepts, models and clearing methods (27 citations)
- Adaptive robust energy and reserve co-optimization of integrated electricity and heating system considering wind uncertainty (19 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Mathematical optimization
- Voltage
His primary scientific interests are in Mathematical optimization, Wind power, Control theory, Electric power system and Renewable energy.
Qiuwei Wu interconnects Convergence and Convex optimization in the investigation of issues within Mathematical optimization.
His Wind power study incorporates themes from Identification, Embedding, Convex hull, Slack variable and Relaxation.
His Control theory research includes themes of AC power, Voltage, Model predictive control and Rotor.
His work on Economic dispatch as part of general Electric power system study is frequently linked to Flexibility, therefore connecting diverse disciplines of science.
His Renewable energy study integrates concerns from other disciplines, such as Scheduling, Electricity, Reliability engineering, Optimization problem and Process engineering.
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