Adaptive and efficient optimization model for optimal parameters of proton exchange membrane fuel cells: A comprehensive analysis

Faculty Engineering Year: 2021
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Energy Elsevier Volume: 233
Keywords : Adaptive , efficient optimization model , optimal parameters    
Abstract:
Optimum modeling of the proton exchange membrane fuel cell (PEMFC) has attracted considerable research over the last decades to simulate, control, evaluate, manage, and optimize the performance of PEMFC stacks. The main problem in optimal m
   
     
 
       

Author Related Publications

  • Attia Abdelaziz Hussien Ali, "Artificial ecosystem-based optimiser to electrically characterise PV generating systems under various operating conditions reinforced by experimental validations", Wiley, 2021 More
  • Attia Abdelaziz Hussien Ali, "An Improved Artificial Jellyfish Search Optimizer for Parameter Identification of Photovoltaic Models", Multidisciplinary Digital Publishing Institute, 2021 More
  • Attia Abdelaziz Hussien Ali, "Parameters identification of PV triple-diode model using improved generalized normal distribution algorithm", Multidisciplinary Digital Publishing Institute, 2021 More
  • Attia Abdelaziz Hussien Ali, "Model parameters extraction of solid oxide fuel cells based on semi-empirical and memory-based chameleon swarm algorithm", Wiley, 2021 More
  • Attia Abdelaziz Hussien Ali, "Slime mould algorithm constrained by the relay operating time for optimal coordination of directional overcurrent relays using multiple standardized tripping curves", Springer, 2021 More

Department Related Publications

  • Ibrahiem Mahmoud Mohamed Elhenawy, "BERT-CNN: A Deep Learning Model for Detecting Emotions from Text", Tech Science Press, 2021 More
  • Ahmed Raafat Abass Mohamed Saliem, "BERT-CNN: A Deep Learning Model for Detecting Emotions from Text", Tech Science Press, 2021 More
  • Ahmed Raafat Abass Mohamed Saliem, "Using General Regression with Local Tuning for Learning Mixture Models from Incomplete Data Sets", ScienceDirect, 2010 More
  • Ahmed Raafat Abass Mohamed Saliem, "On determining efficient finite mixture models with compact and essential components for clustering data", ScienceDirect, 2013 More
  • Ahmed Raafat Abass Mohamed Saliem, "Unsupervised learning of mixture models based on swarm intelligence and neural networks with optimal completion using incomplete data", ScienceDirect, 2012 More
Tweet