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 …

Uncertainty in the operating condition deviation from the normal equilibrium point in the
transmission level of the power system is being an important problem due to the increasing …

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 …

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 …

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 …

Regarding the complex behaviour of price signalling, its prediction is difficult, where an
accurate forecasting can play an important role in electricity markets. In this paper, a feature …

This paper proposes a new methodology for the optimal selection of the parameters for
proton exchange membrane fuel cell (PEMFC) models. The proposed method is to optimal …

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 …

This study presents an optimal configuration of a hybrid renewable energy source with a
wind turbine and a photovoltaic system to fulfil the required electricity power of a medium …

Modern power system networks are complex and subjected to several uncertainties. Due to
the complexity and uncertainties involved in power system operation, the networks are …