Due to the advancement in communication networks, metering and smart control systems,
as well as the prevalent use of Internet-based structures, new forms of power systems have …

The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …

Although a liquid air energy storage system (LAESS) as a cutting-edge system can provide
higher energy density, no geographical limitation and relatively low overall cost compared to …

The construction of hybrid power plants with renewable resources can bring significant
economic benefits if it is evaluated economically and technically. The present study uses a …

Microgrids are a promising solution for decentralized energy generation and distribution,
offering reliability, efficiency, and resilience. These small-scale power systems can operate …

Abstract Metal–organic frameworks (MOFs), also called porous coordination polymers,
represent a class of crystalline porous materials made up of organic ligands and metal …

Dermatology is the most appropriate field to utilize pattern recognition-based automated
techniques for objective, accurate, and rapid diagnosis because diagnosis mainly relies on …

Microgrid (MG) technologies offer users attractive characteristics such as enhanced power
quality, stability, sustainability, and environmentally friendly energy through a control and …

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 …

ABSTRACT PEMFC (the proton exchange membrane fuel cell) is an extremely effective
energy converter system that generates electricity through electrochemical reactions …