29 Dec 2025
Hybrid Brown-Bear and Hippopotamus Optimization with Quasi-Opposition-Based Learning for Optimal Power Flow with Renewable Energy IntegrationPublisher siteComputers & Electrical Engineering, Optimal Power Flow Distribution
UniversitiesRagab A. El‐Sehiemy
Active, last published 2026
In optimal power flow distribution
Ragab A.
El‐Sehiemy
Scholar“Research focused on Optimal Power Flow Distribution and adjacent fields.”
Kafrelsheikh University
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01 · About the work
What I study
agab A. El‐Sehiemy is a researcher working on Optimal Power Flow Distribution. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Ragab's work has been cited 9,900 times across 4 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Optimal Power Flow Distribution×150Electric Power System Optimization×116Microgrid Control and Optimization×89Smart Grid Energy Management×68Power System Optimization and Stability×59
04 · Where I am
Affiliations
Affiliation on published researchKafrelsheikh UniversityDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
100 works20 Dec 2025
Optimal Power System Operation by a Novel Efficient Starfish Optimization AlgorithmPublisher site20 Dec 2025
Optimal Prediction of EVs State of Charge based on Deep Machine Learning TechniquePublisher site20 Dec 2025
Optimal Hosting Capacity of Photovoltaic Sources for Tala Distribution Network with Harmonic AnalysisPublisher site20 Dec 2025
A Unified Forecasting and Optimization Framework for Sustainable Smart Energy SystemsPublisher site6 Nov 2025Open access
Development of hybrid optimization approach combined with AI-based techniques for prediction of electrical fields in overhead transmission linesPublisher siteThe Journal of Supercomputing
5 Nov 2025Open access
Multi-objective transit search optimizer for dynamic reconfiguration of standard and realistic radial distribution networks with hosted renewables and EV charging stationsPublisher siteResults in Engineering
28 Oct 2025Open access3cites
Multistage prediction approach of EVs charging performance in smart transportation systems by deep learning techniquePublisher siteScientific Reports, Electric Vehicles and Infrastructure
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