What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Mathematical optimization
- Control theory
Chi Yung Chung focuses on Mathematical optimization, Control theory, Probabilistic logic, Electric power system and Evolutionary algorithm.
His Mathematical optimization research incorporates themes from Power system simulation, Simple random sample, AC power, Power-flow study and Robustness.
His study in the field of Nonlinear programming, Nonlinear system and Sensitivity is also linked to topics like Set.
His research investigates the connection between Probabilistic logic and topics such as Wind power that intersect with problems in Sobol sequence, Electric vehicle, Simulation and Wind speed.
The concepts of his Electric power system study are interwoven with issues in Control engineering, Optimization problem, Particle swarm optimization and Induction generator.
His Evolutionary algorithm study integrates concerns from other disciplines, such as Evolutionary computation, Iterative method and Differential evolution.
His most cited work include:
- Probabilistic Load Flow Evaluation With Hybrid Latin Hypercube Sampling and Cholesky Decomposition (287 citations)
- A Chance Constrained Transmission Network Expansion Planning Method With Consideration of Load and Wind Farm Uncertainties (258 citations)
- Application of Differential Evolution Algorithm for Transient Stability Constrained Optimal Power Flow (202 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Electric power system, Control theory, Mathematical optimization, Wind power and Reliability engineering.
In his research on the topic of Electric power system, Identification is strongly related with Sensitivity.
His study explores the link between Control theory and topics such as AC power that cross with problems in Distributed generation.
Chi Yung Chung has researched Mathematical optimization in several fields, including Computation and Robustness.
His work deals with themes such as Wind speed and Simulation, which intersect with Wind power.
The Reliability engineering study combines topics in areas such as Renewable energy and Energy storage.
He most often published in these fields:
- Electric power system (45.69%)
- Control theory (35.53%)
- Mathematical optimization (26.40%)
What were the highlights of his more recent work (between 2018-2021)?
- Electric power system (45.69%)
- Control theory (35.53%)
- Mathematical optimization (26.40%)
In recent papers he was focusing on the following fields of study:
Chi Yung Chung spends much of his time researching Electric power system, Control theory, Mathematical optimization, Wind power and Reliability engineering.
His work on Blackout as part of general Electric power system study is frequently linked to Range, bridging the gap between disciplines.
His Control theory research includes elements of Permanent magnet synchronous generator, AC power, Islanding and Oscillation.
In his work, Electrical impedance is strongly intertwined with Nonlinear programming, which is a subfield of Mathematical optimization.
His Wind power study combines topics from a wide range of disciplines, such as Computational complexity theory, Transient analysis and Wind power penetration.
The study incorporates disciplines such as Importance sampling and Transmission system in addition to Reliability engineering.
Between 2018 and 2021, his most popular works were:
- A Novel Transactive Energy Control Mechanism for Collaborative Networked Microgrids (32 citations)
- Stochastic Transmission Expansion Planning Considering Uncertain Dynamic Thermal Rating of Overhead Lines (21 citations)
- Coordinated Planning Strategy for Integrated Energy Systems in a District Energy Sector (14 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Control theory
- Artificial intelligence
The scientist’s investigation covers issues in Mathematical optimization, Electric power system, Control theory, Renewable energy and Prediction interval.
The various areas that Chi Yung Chung examines in his Mathematical optimization study include Distributed generation, Electricity, Nonlinear programming, Electric power and Cogeneration.
His Electric power system research focuses on Wind power and how it relates to Wind speed and Transmission system.
His Automatic frequency control study in the realm of Control theory interacts with subjects such as Finite difference method.
Chi Yung Chung interconnects Control engineering, State of charge and Emphasis in the investigation of issues within Renewable energy.
His Prediction interval study incorporates themes from Probabilistic logic, Data mining, Feature selection and Contrast.
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