25 Dec 202429cites
Stochastic multi-layer optimization for cooperative multi-microgrid systems with hydrogen storage and demand responsePublisher siteInternational Journal of Hydrogen Energy, Microgrid Control and Optimization
Active, last published 2026
5
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104
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01 · About the work
What I study
research summary for Nehmedo Alamir will appear here once their profile is updated.
02 · Reach
Publication output and reach
Nehmedo's work has been cited 104 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
04 · Where I am
Affiliations
Affiliation on published researchEgypt-Japan University of Science and Technology, EgyptDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
8 works4 Nov 20243cites
Probabilistic Energy Management of Multi-Microgrid Considering Demand Response and Energy Storage SystemPublisher site8 Oct 2024Open access7cites
A Multi-Layer Techno-Economic-Environmental Energy Management Optimization in Cooperative Multi-Microgrids with Demand Response Program and Uncertainties ConsiderationPublisher siteScientific Reports, Microgrid Control and Optimization
21 Mar 20248cites
Optimizing Two-stage Energy Management in renewable-based Multi-Microgrid using a Modified Student Psychology-Based Optimization with Demand Response and Hydrogen StoragePublisher siteInternational Journal of Hydrogen Energy, Microgrid Control and Optimization
1 Feb 20241cites
Stochastic Energy Management Framework for Multi-Microgrid with Demand Response and Battery StoragePublisher site19 Dec 2023
Young’s Double-slit Experiment for Microgrid Energy Management Considering Hydrogen Storage and Demand ResponsePublisher site25 Jul 2023Open access24cites
An improved weighted mean of vectors algorithm for microgrid energy management considering demand responsePublisher siteNeural Computing and Applications, Microgrid Control and Optimization
10 Jul 2023Open access32cites
An effective quantum artificial rabbits optimizer for energy management in microgrid considering demand responsePublisher siteSoft Computing, Microgrid Control and Optimization
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