Application of artificial intelligence for prediction, optimization, and control of thermal energy storage systems
Energy storage is one of the core concepts demonstrated incredibly remarkable
effectiveness in various energy systems. Energy storage systems are vital for maximizing the …
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
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 …
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 …
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
Lifetime evaluation and prediction of proton exchange membrane fuel cells (PEMFCs) are
essential for the lifetime extension and commercialization of fuel cells. Under the …
essential for the lifetime extension and commercialization of fuel cells. Under the …
Identifying the PEM fuel cell parameters using artificial rabbits optimization algorithm
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 …
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
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 …
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
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 …
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 …
(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
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 …
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
Proton exchange membrane fuel cells (PEMFCs) have been considered the focus of study
for energy conversion in various fields including the automobile sector. Nevertheless …
for energy conversion in various fields including the automobile sector. Nevertheless …