Currently, fossil fuels still dominate as the primary energy source, accounting for around
80% of global output. However, the COVID-19 pandemic has severely affected various …

The increasing interest in renewable energy-based power systems globally is driven by their
abundance and environmentally friendly attributes. Islanded hybrid microgrid systems …

The integration of demand response programs (DRPs) into the energy management (EM)
system of microgrids (MGs) helps in improving the load characteristics by allowing …

In this article, a stochastic programming model is developed to solve a multi-renewable
sources-based energy management with the help of a multi-objective improved slime mould …

Abstract The Pelican Optimization Algorithm (POA) is a newly developed algorithm inspired
by the hunting behavior of pelicans. Despite its fast convergence rate, it suffers from …

Due to the limited availability of fossil fuels and environmental concerns over greenhouse
gas emissions, micro-grid systems (MGSs) have become crucial for integrating a high …

Parameter identification is a critical task in the research of proton exchange membrane fuel
cells (PEMFC), which provides the basis for establishing an accurate and reliable PEMFC …

This paper introduces a novel approach for enhancing the energy management and
scheduling of a microgrid. The proposed method employs an improved gradient-based …

With the increasingly prominent defects of traditional fossil energy, large-scale renewable
energy access to power grids has become a trend. In this study, a microgrid operation …

This paper proposes a day-ahead stochastic operation planning for hybrid renewable/non-
renewable multi-microgrid systems. The proposed model performs a multi-objective tri-stage …