What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Voltage
- Artificial intelligence
Azah Mohamed mainly investigates Control theory, Electric power system, Particle swarm optimization, Photovoltaic system and Mathematical optimization.
His study in Control theory is interdisciplinary in nature, drawing from both Optimization problem, Electronic engineering, Damping ratio and Static VAR compensator.
Azah Mohamed interconnects Three-phase, Control engineering, Robustness, Artificial intelligence and Observability in the investigation of issues within Electric power system.
In the subject of general Particle swarm optimization, his work in Multi-swarm optimization is often linked to Scheduling, thereby combining diverse domains of study.
The concepts of his Photovoltaic system study are interwoven with issues in Maximum power point tracking, Inverter, Grid-connected photovoltaic power system and Automotive engineering.
The Genetic algorithm and Firefly algorithm research Azah Mohamed does as part of his general Mathematical optimization study is frequently linked to other disciplines of science, such as Binary number and Sizing, therefore creating a link between diverse domains of science.
His most cited work include:
- A New Approach for Optimal Sizing of Standalone Photovoltaic Systems (69 citations)
- Real-Time Testing of a Fuzzy-Logic-Controller-Based Grid-Connected Photovoltaic Inverter System (63 citations)
- Artificial neural network approach to network reconfiguration for loss minimization in distribution networks (57 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Control theory, Electric power system, Voltage, Electronic engineering and Electrical engineering.
The various areas that Azah Mohamed examines in his Control theory study include Control engineering, Genetic algorithm, Particle swarm optimization and Photovoltaic system.
His Photovoltaic system research incorporates themes from Maximum power point tracking, Inverter, Grid-connected photovoltaic power system and Microgrid.
His Electric power system research is multidisciplinary, incorporating elements of Time domain, Artificial neural network, Artificial intelligence, Reliability engineering and Damping ratio.
His study focuses on the intersection of Electronic engineering and fields such as Total harmonic distortion with connections in the field of Harmonics.
In Electrical engineering, Azah Mohamed works on issues like Automotive engineering, which are connected to Electric vehicle, Battery and Renewable energy.
He most often published in these fields:
- Control theory (32.04%)
- Electric power system (23.88%)
- Voltage (19.39%)
What were the highlights of his more recent work (between 2015-2020)?
- Control theory (32.04%)
- Photovoltaic system (13.67%)
- Voltage (19.39%)
In recent papers he was focusing on the following fields of study:
Control theory, Photovoltaic system, Voltage, Control theory and Electronic engineering are his primary areas of study.
His Control theory research is multidisciplinary, incorporating perspectives in Control engineering, Particle swarm optimization and Electric power system.
His research in the fields of Maximum power principle overlaps with other disciplines such as Sizing.
His Voltage research is included under the broader classification of Electrical engineering.
His work deals with themes such as Energy management system, Microgrid and Voltage controller, which intersect with Control theory.
The Electronic engineering study combines topics in areas such as Voltage instability, Boost converter and Transmission network.
Between 2015 and 2020, his most popular works were:
- Fuzzy logic speed controller optimization approach for induction motor drive using backtracking search algorithm (42 citations)
- Hybrid LSA-ANN Based Home Energy Management Scheduling Controller for Residential Demand Response Strategy (37 citations)
- Optimal sizing of a standalone photovoltaic system for remote housing electrification using numerical algorithm and improved system models (32 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Voltage
- Artificial intelligence
Azah Mohamed focuses on Photovoltaic system, Particle swarm optimization, Electronic engineering, Energy management and Demand response.
His studies deal with areas such as Battery, Maximum power point tracking, Grid-connected photovoltaic power system, Energy and Random forest as well as Photovoltaic system.
His work carried out in the field of Particle swarm optimization brings together such families of science as Charging station, Optimization problem, Control theory and Search algorithm.
His Optimization problem research incorporates elements of Total harmonic distortion, Voltage, Distributed generation and Heuristic.
His work on Fuzzy logic expands to the thematically related Control theory.
His research integrates issues of Quality, Mechanical engineering, Energy harvesting, Piezoelectricity and Cantilever in his study of Electronic engineering.
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