What is she best known for?
The fields of study she is best known for:
- Statistics
- Electrical engineering
- Finance
Her primary areas of study are Electric power system, Control engineering, Microeconomics, Mathematical optimization and Electricity.
Her Electric power system study integrates concerns from other disciplines, such as Control system, Control theory, Electrical network and Electric power.
Her Control engineering research is multidisciplinary, incorporating elements of Kalman filter, Power system simulation, Ensemble Kalman filter and Economic dispatch.
She has included themes like Stochastic modelling, Activity-based costing, Industrial organization and Electricity market in her Microeconomics study.
Her work deals with themes such as Scheduling, Markov process and Markov chain, which intersect with Mathematical optimization.
Marija Ilic has researched Electricity in several fields, including Electric vehicle, Automotive engineering, Quality of service and Smart grid.
Her most cited work include:
- Optimal Charge Control of Plug-In Hybrid Electric Vehicles in Deregulated Electricity Markets (518 citations)
- Stabilizing a multimachine power system via decentralized feedback linearizing excitation control (329 citations)
- Wind Integration in Power Systems: Operational Challenges and Possible Solutions (299 citations)
What are the main themes of her work throughout her whole career to date?
Her main research concerns Electric power system, Control theory, Control engineering, Electricity and AC power.
Marija Ilic focuses mostly in the field of Electric power system, narrowing it down to matters related to Wind power and, in some cases, Renewable energy.
The study incorporates disciplines such as Transient and Voltage in addition to Control theory.
Her Control engineering study frequently links to related topics such as Distributed generation.
Marija Ilic interconnects Load management and Microeconomics in the investigation of issues within Electricity.
Her Microeconomics research includes themes of Transmission and Industrial organization.
She most often published in these fields:
- Electric power system (41.59%)
- Control theory (20.23%)
- Control engineering (18.41%)
What were the highlights of her more recent work (between 2014-2021)?
- Electric power system (41.59%)
- Control theory (20.23%)
- Distributed computing (8.41%)
In recent papers she was focusing on the following fields of study:
Marija Ilic spends much of her time researching Electric power system, Control theory, Distributed computing, Control engineering and Smart grid.
Her work on Automatic Generation Control is typically connected to Scale as part of general Electric power system study, connecting several disciplines of science.
Her work deals with themes such as Generator, Microgrid, Voltage and Component, which intersect with Control theory.
Her Distributed computing study which covers Electricity that intersects with Reliability.
The concepts of her Control engineering study are interwoven with issues in Control, Consensus, Induction generator and Renewable energy.
Her Smart grid research includes elements of Information exchange and Demand response.
Between 2014 and 2021, her most popular works were:
- Smart residential energy scheduling utilizing two stage Mixed Integer Linear Programming (66 citations)
- Robust Data-Driven State Estimation for Smart Grid (58 citations)
- Distributed Torque Control of Deloaded Wind DFIGs for Wind Farm Power Output Regulation (37 citations)
In her most recent research, the most cited papers focused on:
- Statistics
- Electrical engineering
- Finance
Marija Ilic mostly deals with Electric power system, Smart grid, Control engineering, Mathematical optimization and Control theory.
Her Electric power system study combines topics in areas such as Probabilistic logic, AC power, Simulation and Electrical engineering, Renewable energy.
Her Smart grid research includes themes of Phase, Electronic engineering, Modeling and simulation and Transactive energy.
Her research in Control engineering intersects with topics in Energy consumption, Load balancing, Control, Energy storage and Induction generator.
The Mathematical optimization study combines topics in areas such as Distributed algorithm, Minimum-variance unbiased estimator, Consistent estimator and Error detection and correction.
Her work on Passivity and Automation as part of general Control theory study is frequently connected to Dynamics, Computer Aided Design and Reference frame, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
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