What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Voltage
- Control theory
His main research concerns Control theory, Electronic engineering, Inverter, Photovoltaic system and Maximum power point tracking.
His studies in Control theory integrate themes in fields like Pulse-width modulation, Induction motor, Voltage source and Model predictive control.
His research integrates issues of Converters, Electric power system, Switched-mode power supply, Electrical impedance and Topology in his study of Electronic engineering.
Inverter is a subfield of Voltage that Haitham Abu-Rub explores.
Haitham Abu-Rub has researched Photovoltaic system in several fields, including Architectural engineering and Solar energy.
His Maximum power point tracking study combines topics from a wide range of disciplines, such as Z-source inverter and Power control.
His most cited work include:
- Renewable energy resources: Current status, future prospects and their enabling technology (1006 citations)
- State of the Art of Finite Control Set Model Predictive Control in Power Electronics (992 citations)
- Medium-Voltage Multilevel Converters—State of the Art, Challenges, and Requirements in Industrial Applications (826 citations)
What are the main themes of his work throughout his whole career to date?
Haitham Abu-Rub mostly deals with Control theory, Inverter, Electronic engineering, Voltage and Model predictive control.
His Control theory research integrates issues from Pulse-width modulation, Induction motor, Control engineering and Topology.
In his work, Ripple is strongly intertwined with Capacitor, which is a subfield of Inverter.
His Electronic engineering research is multidisciplinary, incorporating elements of Converters, Boost converter, Forward converter and Photovoltaic system, Electrical engineering.
In his study, which falls under the umbrella issue of Photovoltaic system, Power factor is strongly linked to Maximum power point tracking.
His Model predictive control study combines topics in areas such as Voltage source, AC power and Power control.
He most often published in these fields:
- Control theory (60.00%)
- Inverter (34.34%)
- Electronic engineering (32.12%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (60.00%)
- Voltage (27.27%)
- Smart grid (6.67%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Control theory, Voltage, Smart grid, Inverter and Artificial intelligence.
The study incorporates disciplines such as AC power, Model predictive control and Energy storage in addition to Control theory.
His studies in AC power integrate themes in fields like Phase-locked loop, Maximum power point tracking and Photovoltaic system.
He works mostly in the field of Model predictive control, limiting it down to concerns involving Electronic engineering and, occasionally, Market penetration.
His Voltage research incorporates themes from Finite element method and Fault detection and isolation.
His Inverter study incorporates themes from Pulse-width modulation, Power quality, Transient and Nonlinear system.
Between 2019 and 2021, his most popular works were:
- An Effective Sliding Mode Control Design for a Grid-Connected PUC7 Multilevel Inverter (12 citations)
- A novel stacked generalization ensemble-based hybrid LGBM-XGB-MLP model for Short-Term Load Forecasting (9 citations)
- Towards Grid of Microgrids: Seamless Transition between Grid-Connected and Islanded Modes of Operation (9 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Voltage
- Control theory
Artificial intelligence, Smart grid, Control theory, Photovoltaic system and Model predictive control are his primary areas of study.
His Control theory study combines topics from a wide range of disciplines, such as Transformer, Electronic engineering and Duty cycle.
His research in Photovoltaic system intersects with topics in Regression analysis, Energy, Data mining and Bayesian probability.
His study in Model predictive control is interdisciplinary in nature, drawing from both Topology, Space vector modulation, Inverter, Voltage and Interfacing.
Haitham Abu-Rub does research in Inverter, focusing on Maximum power point tracking specifically.
Haitham Abu-Rub studied Voltage and Weighting that intersect with Artificial neural network.
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