Parameter identification of fuel cell using Repairable Grey Wolf Optimization algorithm-Reference-Cited by-同舟云学术

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Parameter identification of fuel cell using Repairable Grey Wolf Optimization algorithm

Published:2023-11 Issue: Volume:147 Page:110791
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Ebrahimi S. Mohammadreza^ORCID,Hasanzadeh Sajjad,Khatibi Sahand

Publisher

Elsevier BV

Subject

Software

Reference61 articles.

1. Overview of current development in electrical energy storage technologies and the application potential in power system operation;Luo;Appl. Energy,2015

2. A novel P systems based optimization algorithm for parameter estimation of proton exchange membrane fuel cell model;Yang;Int. J. Hydrogen Energy,2012

3. Review of the proton exchange membranes for fuel cell applications;Peighambardoust;Int. J. Hydrogen Energy,2010

4. Optimization strategies for Solid Oxide Fuel Cell (SOFC) application: A literature survey;Ramadhani;Renew. Sustain. Energy Rev.,2017

5. Fast and accurate parameter extraction for different types of fuel cells with decomposition and nature-inspired optimization method;Gong;Energy Convers. Manage.,2018

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2. Chaos Game Optimization: A comprehensive study of its variants, applications, and future directions;Computer Science Review;2024-08

3. Comprehensive analysis of classical and 2 DOF controllers for fuel cell powered nanogrids by Dwarf Mongoose algorithm;International Journal of Hydrogen Energy;2024-07

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