What is he best known for?
The fields of study he is best known for:
- Statistics
- Electrical engineering
- Artificial intelligence
James D. McCalley mainly investigates Electric power system, Reliability engineering, Risk management, Probabilistic logic and Risk assessment.
His Electric power system study integrates concerns from other disciplines, such as Electric power industry, Control theory, AC power, Linear programming and Reliability.
James D. McCalley focuses mostly in the field of Control theory, narrowing it down to topics relating to Electrical network and, in certain cases, Signal.
His studies in Reliability engineering integrate themes in fields like Control room, Transformer, Power-system protection and Probabilistic method.
His studies deal with areas such as System testing and Risk analysis as well as Risk management.
His research integrates issues of Evolutionary algorithm, Power system simulation, Reliability and Optimal control in his study of Risk assessment.
His most cited work include:
- Design Techniques and Applications of Cyberphysical Systems: A Survey (431 citations)
- Damping controller design for power system oscillations using global signals (409 citations)
- Online risk-based security assessment (347 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Electric power system, Reliability engineering, Control theory, Mathematical optimization and Transmission.
His study in the field of Power system simulation is also linked to topics like Contingency.
James D. McCalley has researched Reliability engineering in several fields, including Transformer, Electric power transmission, Reliability, Risk management and Risk assessment.
His Risk management research incorporates elements of System testing, Probabilistic logic and Reliability.
His Control theory research includes themes of Control engineering, Transient and Stability.
His Transmission study combines topics in areas such as Investment and Operations research.
He most often published in these fields:
- Electric power system (41.10%)
- Reliability engineering (20.76%)
- Control theory (16.53%)
What were the highlights of his more recent work (between 2015-2021)?
- Electric power system (41.10%)
- Mathematical optimization (13.56%)
- Renewable energy (9.32%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Electric power system, Mathematical optimization, Renewable energy, Environmental economics and Transmission.
James D. McCalley has included themes like Grid, Reliability engineering, Distributed generation and Electric power in his Electric power system study.
His Reliability engineering research integrates issues from Reliability, Reservation price and Operation point.
His Mathematical optimization research includes elements of Function and Node.
His Renewable energy research focuses on Flexibility and how it connects with Supply and demand and Energy.
His Transmission research also works with subjects such as
- Quality that connect with fields like Selection and Reliability,
- Operations research which intersects with area such as Investment, Set, Mains electricity and Demand response.
Between 2015 and 2021, his most popular works were:
- Co-optimization of electricity transmission and generation resources for planning and policy analysis: review of concepts and modeling approaches (65 citations)
- Solving corrective risk-based security-constrained optimal power flow with Lagrangian relaxation and Benders decomposition (26 citations)
- What are the Benefits of Co-Optimizing Transmission and Generation Investment? Eastern Interconnection Case Study (24 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Electrical engineering
- Artificial intelligence
His primary areas of investigation include Investment, Mathematical optimization, Renewable energy, Function and Automatic Generation Control.
His Investment study which covers Transmission that intersects with Set, Electric power transmission, Energy storage, Mains electricity and Demand response.
His Mathematical optimization research is multidisciplinary, incorporating elements of Dimension, Decomposition and System risk.
His study on Bioenergy is often connected to Wide area, Raw material and Low-carbon economy as part of broader study in Renewable energy.
His Automatic Generation Control study deals with Economic dispatch intersecting with Control theory.
His Control theory research incorporates elements of Hierarchical database model and Schedule.
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.
