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Ahmed R. Ginidi

Researcher at Suez University

Publications -  47
Citations -  737

Ahmed R. Ginidi is an academic researcher from Suez University. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 7, co-authored 17 publications receiving 100 citations.

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A Forensic-Based Investigation Algorithm for Parameter Extraction of Solar Cell Models

TL;DR: In this article, a new application of the Forensic-Based Investigation Algorithm (FBIA), which is a new meta-heuristic optimization technique, is introduced to accurately extract the electrical parameters of different PV models.
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Effective Automation of Distribution Systems With Joint Integration of DGs/ SVCs Considering Reconfiguration Capability by Jellyfish Search Algorithm

TL;DR: In this paper, an efficient and robust technique based on Jellyfish Search Algorithm (JFSA) for optimal Volt/VAr coordination in ADSs based on joint distribution system reconfiguration (DSR), distributed generation units (DGs) integration and Distribution static VAr compensators (SVCs) operation is proposed.
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Estimating Parameters of Photovoltaic Models Using Accurate Turbulent Flow of Water Optimizer

TL;DR: The findings show a high closeness between the estimated power–voltage (P–V) and current–voltages (I-V) curves achieved by the proposed TFWO compared with the experimental data as well as the competitive optimization algorithms, thanks to the effectiveness of the developed T FWO solution mechanism.
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Gorilla Troops Optimizer for Electrically Based Single and Double-Diode Models of Solar Photovoltaic Systems

TL;DR: A new implementation of the Gorilla Troops Optimization (GTO) technique for parameter extraction of several PV models is created and its efficacy and superiority are expressed by calculating the standard deviations of the fitness values, which indicates that the SD and DD models are smaller than 1E−16, and 1E −6, respectively.
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A novel improved marine predators algorithm for combined heat and power economic dispatch problem

TL;DR: In this paper, an improved marine predators' optimization algorithm (IMPOA) was proposed for solving the combined heat and power (CHP) economic dispatch problem, which pursues to minimize the overall fuel cost (OFC) supply of cogeneration units considering their operational constraints.