As the landscape of electric power systems is transforming towards decentralization, small-
scale electric power systems have garnered increased attention. Meanwhile, the …

To address the issues of lacking ability, loss of population diversity, and tendency to fall into
the local extreme value in the later stage of optimization searching, resulting in slow …

The global energy transition, driven by the imperative to mitigate climate change, demands
innovative solutions to address the technical, economic, and social challenges of …

Over the past ten years, global electricity networks have undergone rapid advancements,
primarily driven by the widespread adoption of renewable energy resources (RES). While …

The snow ablation optimizer (SAO) is a meta-heuristic technique used to seek the best
solution for sophisticated problems. In response to the defects in the SAO algorithm, which …

As deep learning progresses in recent years, deep neural networks (DNNs) have penetrated
applications in various industries. The global maximum power point (GMPP) tracking issue …

This manuscript focuses on optimizing a Hybrid Renewable Energy System (HRES) that
integrates photovoltaic (PV) panels, wind turbines (WT), and various energy storage systems …

With the rapid development of renewable energy and the increasing modernization
demands in remote areas, off-grid hybrid renewable energy systems (HRES) have become …

Renewable energy systems are becoming more and more popular and used these days as
a result of environmental, technical, and economic concerns. The reliable and optimal …

This manuscript introduces a highly efficient hybrid renewable energy system (HRES) that
combines photovoltaic (PV) panels and wind turbines (WTs) as primary power sources …