In this research, a new optimized deep learning-based methodology is proposed for optimal
and efficient modeling of the Proton-exchange membrane fuel cells. Here, a hybrid method …

This study proposes a new optimal hybrid renewable energy system (HRES) arrangement,
including a photovoltaic system, wind turbine, and fuel cell, for electrifying a remote area in …

There is an increasing trend for fuel cell systems applications in electricity generation
systems instead of traditional power generation systems because of their advantages such …

ABSTRACT A new optimized design of a hybrid AlexNet/Extreme Learning Machine (ELM)
network to provide an optimal identification tool for the Proton-exchange membrane fuel …

The present study proposes an optimal design of combined cooling, heating, and power
systems (CCHP) for a watersport complex. The main purpose is to reduce the energy losses …

Due to the growing use of fuel cell systems in electricity generation instead of conventional
power generation systems for various reasons, such as high efficiency, non-environmental …

A novel approach is presented in this research to improve the design of a combined cooling,
heating, and power (CCHP) system. The focus of the study is on a gas turbine system that …

Fuel cells are considered as new kinds of clean energy sources. This study presents a
method for optimal unknown parameters identification of a Solid Oxide Fuel Cell (SOFC) …

With the introduction of various loads and dispersed production units to the system in recent
years, the significance of precise forecasting for short, long, and medium loads have already …

Objective Cancer is the uncontrolled growth of abnormal cells that do not function as normal
cells. Lung cancer is the leading cause of cancer death in the world, so early detection of …