What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Electrical engineering
Wenchuan Wu mostly deals with Mathematical optimization, Electric power system, Robust optimization, Control theory and Wind power.
His studies examine the connections between Mathematical optimization and genetics, as well as such issues in AC power, with regards to Relaxation, Transmission and Overvoltage.
His work on Economic dispatch, Power-flow study and Base load power plant as part of his general Electric power system study is frequently connected to Thermal energy storage, thereby bridging the divide between different branches of science.
Wenchuan Wu combines subjects such as Variation, Power optimizer, Robustness, Decision-making models and Job shop scheduling with his study of Robust optimization.
His research integrates issues of Distribution networks, Quadratic programming, Integer programming and Piecewise in his study of Control theory.
His research investigates the connection between Wind power and topics such as Electricity generation that intersect with issues in Distributed generation, Subgradient method, Automatic frequency control, Recovery procedure and Distributed power.
His most cited work include:
- Combined Heat and Power Dispatch Considering Pipeline Energy Storage of District Heating Network (320 citations)
- Transmission-Constrained Unit Commitment Considering Combined Electricity and District Heating Networks (189 citations)
- A Fully Distributed Reactive Power Optimization and Control Method for Active Distribution Networks (164 citations)
What are the main themes of his work throughout his whole career to date?
Wenchuan Wu spends much of his time researching Electric power system, Mathematical optimization, Control theory, AC power and Wind power.
He usually deals with Electric power system and limits it to topics linked to Control and Reinforcement learning.
His Mathematical optimization study incorporates themes from Distribution networks, Robustness and Economic dispatch.
His Voltage research extends to Control theory, which is thematically connected.
His study in AC power is interdisciplinary in nature, drawing from both Distributed generation, Linearization and Relaxation.
The concepts of his Wind power study are interwoven with issues in Electricity generation and Automotive engineering.
He most often published in these fields:
- Electric power system (36.21%)
- Mathematical optimization (34.88%)
- Control theory (28.24%)
What were the highlights of his more recent work (between 2019-2021)?
- Mathematical optimization (34.88%)
- AC power (16.61%)
- Electric power system (36.21%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Mathematical optimization, AC power, Electric power system, Control theory and Control.
His biological study spans a wide range of topics, including Quantile, Newton's method and Flexibility.
Wenchuan Wu works mostly in the field of Newton's method, limiting it down to concerns involving Mixture model and, occasionally, Wind power.
His AC power study combines topics in areas such as Flow, Transmission, Cluster analysis and Nonlinear system.
His Electric power system research includes elements of Electric power transmission, Electrical engineering, Renewable energy and Power station.
His studies in Control theory integrate themes in fields like Optimal scheduling, Voltage droop, Model predictive control and Voltage regulation, Voltage.
Between 2019 and 2021, his most popular works were:
- A Multi-Time-Scale Economic Scheduling Strategy for Virtual Power Plant Based on Deferrable Loads Aggregation and Disaggregation (23 citations)
- Analytical Reliability Assessment Method for Complex Distribution Networks Considering Post-Fault Network Reconfiguration (11 citations)
- Joint Commitment of Generation Units and Heat Exchange Stations for Combined Heat and Power Systems (9 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Electrical engineering
The scientist’s investigation covers issues in Mathematical optimization, AC power, Inverter, Reinforcement learning and Microgrid.
His Mathematical optimization study combines topics from a wide range of disciplines, such as Transmission and Economic scheduling.
His AC power study integrates concerns from other disciplines, such as Flow, Linearization, Control theory, Benchmark and Winner-take-all.
His work in Inverter addresses issues such as Robustness, which are connected to fields such as Optimal control.
His research investigates the link between Microgrid and topics such as Distributed computing that cross with problems in Economic dispatch, Control theory, Energy storage and Automatic frequency control.
His studies deal with areas such as Wind power, Cogeneration and Renewable energy as well as Electric power system.
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.
