Magdy M. A. Salama

What is he best known for?

The fields of study he is best known for:

• Electrical engineering
• Artificial intelligence
• Voltage

His main research concerns Distributed generation, Electronic engineering, Control theory, Artificial intelligence and Pattern recognition. His Distributed generation research incorporates elements of Reliability engineering, Key, Mathematical optimization and Energy storage. His Electronic engineering study combines topics in areas such as Total harmonic distortion, Voltage, Compensation, Flicker and Grid.

His biological study spans a wide range of topics, including Symmetrical components and AC power, Voltage optimisation, Voltage regulation. His work on Wavelet transform, Class and Cascade algorithm as part of general Artificial intelligence study is frequently linked to Process, therefore connecting diverse disciplines of science. The various areas that Magdy M. A. Salama examines in his Pattern recognition study include Artificial neural network, Partial discharge and Signal.

His most cited work include:

• Opposition-Based Differential Evolution (1130 citations)
• Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization (925 citations)
• Distributed generation technologies, definitions and benefits (734 citations)

What are the main themes of his work throughout his whole career to date?

Magdy M. A. Salama mainly investigates Electronic engineering, Control theory, Voltage, Artificial intelligence and Distributed generation. His studies examine the connections between Electronic engineering and genetics, as well as such issues in Total harmonic distortion, with regards to Active filter. In his study, Power factor is inextricably linked to AC power, which falls within the broad field of Control theory.

His Artificial intelligence study integrates concerns from other disciplines, such as Computer vision and Pattern recognition. His Distributed generation research incorporates themes from Reliability engineering, Inverter, Mathematical optimization and Smart grid. As a part of the same scientific family, Magdy M. A. Salama mostly works in the field of Mathematical optimization, focusing on Electric power system and, on occasion, Electricity generation.

He most often published in these fields:

• Electronic engineering (29.55%)
• Control theory (20.64%)
• Voltage (20.08%)

What were the highlights of his more recent work (between 2015-2021)?

• Distributed generation (13.45%)
• Reliability engineering (8.33%)
• AC power (10.98%)

In recent papers he was focusing on the following fields of study:

Magdy M. A. Salama focuses on Distributed generation, Reliability engineering, AC power, Voltage and Microgrid. His Distributed generation research includes elements of Profit, Smart grid, Algorithm, Electronic engineering and Environmental economics. His work deals with themes such as Artificial neural network and Topology, which intersect with Electronic engineering.

His Reliability engineering study deals with Probabilistic logic intersecting with Renewable energy and Mathematical optimization. His AC power research is multidisciplinary, relying on both Grid, Photovoltaic system, Nonlinear programming and Control theory. The Electric power system study combines topics in areas such as Control engineering and Electricity generation.

Between 2015 and 2021, his most popular works were:

• Optimal ESS Allocation for Benefit Maximization in Distribution Networks (72 citations)
• A Planning Approach for the Network Configuration of AC-DC Hybrid Distribution Systems (57 citations)
• A Generalized Approach to the Load Flow Analysis of AC–DC Hybrid Distribution Systems (46 citations)

In his most recent research, the most cited papers focused on:

• Electrical engineering
• Artificial intelligence
• Voltage

Magdy M. A. Salama mainly focuses on Distributed generation, AC power, Microgrid, Smart grid and Mathematical optimization. He undertakes multidisciplinary investigations into Distributed generation and Sizing in his work. His AC power study also includes fields such as

• Control theory that intertwine with fields like Converters, Capacitor and Network topology,
• Optimization problem that connect with fields like Minification.

His studies in Microgrid integrate themes in fields like Electric power system, Slack bus, Power-flow study, Control engineering and Algorithm. He combines subjects such as Control variable and Electronic engineering with his study of Control engineering. His Mathematical optimization research includes themes of Solar irradiance, Energy, k-means clustering and Renewable resource.