What is he best known for?
The fields of study he is best known for:
- Statistics
- Algorithm
- Electrical engineering
Electric power system, Control theory, Estimator, Electronic engineering and Observability are his primary areas of study.
His work deals with themes such as Linear programming and Mathematical optimization, which intersect with Electric power system.
Ali Abur combines subjects such as Capacitor, Residual, Phasor measurement unit and Thyristor with his study of Control theory.
His study in Estimator is interdisciplinary in nature, drawing from both Electrical network, SCADA and Leverage.
His Electronic engineering research includes themes of Current transformer, Transformer, Voltage, Emtp and Fault.
His Observability study incorporates themes from Control engineering, Algorithm and Robustness.
His most cited work include:
- Power System State Estimation : Theory and Implementation (1953 citations)
- Fault location using wavelets (498 citations)
- Observability analysis and measurement placement for systems with PMUs (422 citations)
What are the main themes of his work throughout his whole career to date?
Ali Abur mainly focuses on Electric power system, Control theory, Phasor, Estimator and Algorithm.
Ali Abur interconnects Mathematical optimization, Electronic engineering, State and Identification in the investigation of issues within Electric power system.
In the field of Control theory, his study on Observability overlaps with subjects such as Observational error.
His Phasor study combines topics in areas such as Control engineering, Redundancy and Topology.
His Estimator research is multidisciplinary, incorporating elements of SCADA, Leverage and Robustness.
His Algorithm research focuses on Lagrange multiplier and how it connects with Error detection and correction.
He most often published in these fields:
- Electric power system (43.06%)
- Control theory (39.15%)
- Phasor (25.98%)
What were the highlights of his more recent work (between 2017-2021)?
- Electric power system (43.06%)
- Algorithm (19.22%)
- Estimator (20.64%)
In recent papers he was focusing on the following fields of study:
Ali Abur mostly deals with Electric power system, Algorithm, Estimator, Control theory and Phasor.
His Electric power system research incorporates elements of Utility system and State.
His Algorithm research is multidisciplinary, relying on both Circuit breaker, Parameter error, Identifiability and Identification.
The study incorporates disciplines such as Leverage and Robustness in addition to Estimator.
His work on Kalman filter as part of general Control theory research is often related to Observable, thus linking different fields of science.
His studies in Phasor integrate themes in fields like Lagrange multiplier and Sequence.
Between 2017 and 2021, his most popular works were:
- Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work (109 citations)
- Linear Phasor Estimator Assisted Dynamic State Estimation (45 citations)
- A Highly Efficient Bad Data Identification Approach for Very Large Scale Power Systems (28 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Electrical engineering
- Algorithm
His main research concerns Control theory, Estimator, Phasor, Measurement uncertainty and Robustness.
His research in Control theory intersects with topics in Estimation theory, Robust optimization and Admittance parameters.
His Estimator study frequently links to other fields, such as State.
Ali Abur merges Phasor with Units of measurement in his research.
In his study, Massively parallel, Multi-core processor, Network model, Gaussian noise and Linear programming is inextricably linked to State estimator, which falls within the broad field of Robustness.
The various areas that Ali Abur examines in his Algorithm study include Statistical hypothesis testing and Electric power system.
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