Abstract Artificial Neural Networks (ANN) have been widely used by scientists in a variety of
energy modes (biomass, wind, solar, geothermal, and hydroelectric). This review highlights …

The focus of this study is to evaluate the effects of porous media inside the gas flow channel
of Proton Exchange Membrane Fuel Cells (PEMFC) on four different output parameters of …

For mitigating global warming, polymer electrolyte membrane fuel cells have become
promising, clean, and sustainable alternatives to existing energy sources. To increase the …

Designing a PEM fuel cell model is exceedingly challenging because of its multivariate in
nature. Optimization is required to achieve highest operating condition. Neural Network …

The increasing adoption of electric vehicles (EVs) presents a promising solution for
achieving sustainable transportation and reducing carbon emissions. To keep pace with …

Sustainable electrical systems emphasize energy conservation and environmental
protection. One of the ways to achieve this is by using an efficient fuel cell system. Designing …

Fuel cells are used in many applications, from personal use to energy generation stations.
The fuel cell systems consist of a fuel cell stack, and its components to control air, H2O …