Application of artificial intelligence for prediction, optimization, and control of thermal energy storage systems

AG Olabi, AA Abdelghafar, HM Maghrabie… - Thermal Science and …, 2023 - Elsevier
Energy storage is one of the core concepts demonstrated incredibly remarkable
effectiveness in various energy systems. Energy storage systems are vital for maximizing the …

Comparative analysis on parametric estimation of a PEM fuel cell using metaheuristics algorithms

T Wilberforce, H Rezk, AG Olabi, EI Epelle… - Energy, 2023 - Elsevier
One of the primary issues in the modelling of fuel cell is the determination of specific
boundary conditions often deduced from the manufacturer of the fuel cell. Realistically, not …

Recent advances in anode electrocatalysts for direct formic acid fuel cells–part i–fundamentals and Pd based catalysts

SK Safdar Hossain, J Saleem… - The Chemical …, 2022 - Wiley Online Library
Direct formic acid fuel cells (DFAFCs) have gained immense importance as a source of
clean energy for portable electronic devices. It outperforms other fuel cells in several key …

Lifetime prediction method of proton exchange membrane fuel cells based on current degradation law

P Pei, Y Meng, D Chen, P Ren, M Wang, X Wang - Energy, 2023 - Elsevier
Lifetime evaluation and prediction of proton exchange membrane fuel cells (PEMFCs) are
essential for the lifetime extension and commercialization of fuel cells. Under the …

Identifying the PEM fuel cell parameters using artificial rabbits optimization algorithm

AJ Riad, HM Hasanien, RA Turky, AH Yakout - Sustainability, 2023 - mdpi.com
The artificial rabbits optimization (ARO) algorithm is proposed in this article to find the
optimum values for uncertain parameters for the proton exchange membrane fuel cell …

[HTML][HTML] Scaled conjugate-artificial neural network-based novel framework for enhancing the power quality of grid-tied microgrid systems

GK Sahoo, S Choudhury, RS Rathore, M Bajaj… - Alexandria Engineering …, 2023 - Elsevier
The exponential increase in the dependence on electrical power by rapid industrialization
and increasing population has given rise to the need of supplying electric power efficiently …

Enhanced transient search optimization algorithm-based optimal reactive power dispatch including electric vehicles

MAM Shaheen, Z Ullah, HM Hasanien… - Energy, 2023 - Elsevier
Optimal reactive power dispatch (ORPD) in electrical networks is essential for the secure
and stable operation of the entire power system; it also significantly impacts the economic …

Attack-defense strategy assisted osprey optimization algorithm for PEMFC parameters identification

Y Yuan, Q Yang, J Ren, X Mu, Z Wang, Q Shen… - Renewable Energy, 2024 - Elsevier
The electrochemical parameter identification of Proton-exchange membrane fuel cells
(PEMFCs) is a highly nonlinear optimization problem. In this study, a new optimization …

Optimal parameter identification of a PEM fuel cell using recent optimization algorithms

H Rezk, T Wilberforce, AG Olabi, RM Ghoniem… - Energies, 2023 - mdpi.com
The parameter identification of a PEMFC is the process of using optimization algorithms to
determine the ideal unknown variables suitable for the development of an accurate fuel-cell …

Proton exchange membrane fuel cell model parameters identification using Chaotically based-bonobo optimizer

A Fathy, H Rezk, AG Alharbi, D Yousri - Energy, 2023 - Elsevier
Proton exchange membrane fuel cells (PEMFCs) have been considered the focus of study
for energy conversion in various fields including the automobile sector. Nevertheless …