What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Algorithm
- Control theory
His main research concerns Photovoltaic system, Maximum power point tracking, Particle swarm optimization, Maximum power principle and Control theory.
As part of one scientific family, Hegazy Rezk deals mainly with the area of Photovoltaic system, narrowing it down to issues related to the Power, and often Short circuit.
His Maximum power point tracking research incorporates themes from MATLAB and Hill climbing.
His Particle swarm optimization study incorporates themes from Solar irradiance, Sensitivity, Electricity generation and Search algorithm.
In his study, Estimation theory, Artificial neural network and Equivalent circuit is strongly linked to Diode, which falls under the umbrella field of Maximum power principle.
His study in the fields of Robustness under the domain of Control theory overlaps with other disciplines such as Integrator.
His most cited work include:
- A comprehensive comparison of different MPPT techniques for photovoltaic systems (217 citations)
- A comparison of different global MPPT techniques based on meta-heuristic algorithms for photovoltaic system subjected to partial shading conditions (83 citations)
- A comparison of different global MPPT techniques based on meta-heuristic algorithms for photovoltaic system subjected to partial shading conditions (83 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Photovoltaic system, Control theory, Particle swarm optimization, Maximum power point tracking and Power.
His study in Photovoltaic system is interdisciplinary in nature, drawing from both Automotive engineering, Algorithm, Point, Efficient energy use and Renewable energy.
His Control theory research is multidisciplinary, relying on both Ripple, Proton exchange membrane fuel cell and Maximum power principle.
Hegazy Rezk combines subjects such as Function, Nanofluid, Process engineering and Fuzzy logic with his study of Particle swarm optimization.
His Maximum power point tracking research incorporates elements of Solar irradiance, Hill climbing, Differential evolution and Electricity generation.
The Inverter and Battery research Hegazy Rezk does as part of his general Power study is frequently linked to other disciplines of science, such as Field, therefore creating a link between diverse domains of science.
He most often published in these fields:
- Photovoltaic system (60.00%)
- Control theory (40.00%)
- Particle swarm optimization (34.55%)
What were the highlights of his more recent work (between 2020-2021)?
- Control theory (40.00%)
- Photovoltaic system (60.00%)
- Renewable energy (25.45%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Control theory, Photovoltaic system, Renewable energy, Fuzzy logic and Power.
His work in Control theory tackles topics such as Proton exchange membrane fuel cell which are related to areas like Maximum power principle.
Hegazy Rezk undertakes multidisciplinary investigations into Photovoltaic system and Fault detection and identification in his work.
His Renewable energy research includes elements of Algorithm, Estimation theory, Automotive engineering and Fuel cells.
His research in Fuzzy logic intersects with topics in Maximum power point tracking, Particle swarm optimization and Root mean square.
His work carried out in the field of Power brings together such families of science as Metaheuristic, Energy management and Rotor.
Between 2020 and 2021, his most popular works were:
- Comparison among various energy management strategies for reducing hydrogen consumption in a hybrid fuel cell/supercapacitor/battery system (28 citations)
- Comparison among various energy management strategies for reducing hydrogen consumption in a hybrid fuel cell/supercapacitor/battery system (28 citations)
- Enhancing the operation of fuel cell-photovoltaic-battery-supercapacitor renewable system through a hybrid energy management strategy (12 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Algorithm
- Control theory
His primary areas of study are Photovoltaic system, Process engineering, Automotive engineering, Maximum power principle and Power.
His research on Photovoltaic system often connects related topics like Energy storage.
His biological study spans a wide range of topics, including Particle swarm optimization, Waste treatment, Efficient energy use and Microbial fuel cell.
He has researched Automotive engineering in several fields, including Decoupling, Electric power system and Renewable energy.
His Maximum power principle study combines topics in areas such as Shadow, Optimization algorithm, Control reconfiguration and Metaheuristic.
His Power research includes themes of Sensitivity, Control theory, Proton exchange membrane fuel cell and Topology.
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