As the world continues to seek sustainable and efficient energy solutions, the integration of
advanced technologies into smart energy grid management (SEGM) becomes a paramount …

This research introduces a stochastic scheduling approach that incorporates risk constraints
for an energy hub (EH), considering uncertainties related to renewable generation and load …

The use of renewable energy sources (RESs) at the distribution level has become
increasingly appealing in terms of costs and technology, expecting a massive diffusion in the …

Smart grid technologies have advanced due to growing global need for efficient and more
sustainable energy systems. With the existing power grid structures experiencing problems …

Against the backdrop of increasingly severe global environmental changes, accurately
predicting and meeting renewable energy demands has become a key challenge for …

In the fireworks industry (FI), many accidents and explosions frequently happen due to
human error (HE). Human factors (HFs) always play a dynamic role in the incidence of …

The solar-hydrogen system installed at the Samcheok Campus of Kangwon National
University is the setting for this paper's presentation of an AI-driven method for fault detection …

Since cardiovascular diseases (CVDs) pose a critical global concern, identifying associated
risk factors remains a pivotal research focus. This study aims to propose and optimize a …

Introduction: Smart Grid (SG) as an intelligent system has become a key element in the
efficient operation of the electrical grid. With the continuous increase in global energy …

Electricity consumption is increasing rapidly, and the limited availability of natural resources
necessitates efficient energy usage. Predicting and managing electricity costs is …