A
Abdelhady Ramadan
Researcher at Aswan University
Publications - 12
Citations - 176
Abdelhady Ramadan is an academic researcher from Aswan University. The author has contributed to research in topics: Photovoltaic system & Computer science. The author has an hindex of 3, co-authored 8 publications receiving 39 citations.
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Photovoltaic Cells Parameter Estimation Using an Enhanced Teaching–Learning-Based Optimization Algorithm
TL;DR: An enhanced teaching–learning-based optimization (ETLBO) algorithm is proposed and applied to estimate the photovoltaic cells parameter and the results obtained are compared with those obtained by other well-known optimization algorithms.
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A New Application of Chaos Game Optimization Algorithm for Parameters Extraction of Three Diode Photovoltaic Model
TL;DR: In this article, a new application of an appropriate optimization algorithm called Chaos Game Optimization algorithm (CGO) is proposed for estimating the unknown parameters of the three-diode (TD) PV model.
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An Improved Bald Eagle Search Algorithm for Parameter Estimation of Different Photovoltaic Models
TL;DR: The improved bald eagle search (IBES) was applied to estimate more accurate PV model parameters, and the IBES behavior was better than the original BES and other compared algorithms.
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Parameter Extraction of Three Diode Solar Photovoltaic Model Using Improved Grey Wolf Optimizer
TL;DR: Based on quantitative and qualitative performance evaluation, it can be concluded that the estimated parameters of TDM by I-GWO are more accurate than those obtained by other studied optimization algorithms.
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Parameter Estimation of Modified Double-Diode and Triple-Diode Photovoltaic Models Based on Wild Horse Optimizer
TL;DR: In this article, an application for an optimization algorithm named Wild Horse Optimizer (WHO) is proposed to extract the parameters of a double-diode PV model (DDM), modified double-dimentional model (MDDM), triple-diodel model (TDM), and modified triple diode model (MTDM), and the evaluation process uses different methods, such as Root Mean Square Error (RMSE) for accuracy and statistical analysis for robustness.