The slime mould algorithm (SMA) is a new swarm intelligence algorithm inspired by the
oscillatory behavior of slime moulds during foraging. Numerous researchers have widely …

Composite materials have a wide range of applications in many industries due to their
manufacturability, high strength values, and light filling. The sector where composite …

Multi-agent deep reinforcement learning (MADRL) approaches are at the forefront of
contemporary research in optimum electric vehicle (EV) charging scheduling challenges …

Rapidly increasing uptake of Electric Vehicles (EVs) is expected to have a significant impact
on electrical power distribution networks. Considerable work has been carried out to …

Steady-state voltage security region (SVSR) is an important criterion that can intuitively and
effectively evaluate the power system's operation security and overall safety margin …

The worldwide quest for sustainable energy solutions has led to a thorough investigation of
the integration of renewable energy sources based on micro and smart grids into national …

Electric vehicle (EV) load forecasting is becoming increasingly important for power system
operation. Accurately multi-step-ahead forecasting EV loads is challenging. The correlation …

Cardiovascular disorders are among the most common causes of death worldwide. The
formation of a thrombus alters blood flow patterns and impairs blood flow. Therefore, blood …

The introduction of electric vehicles as an alternate transportation option to conventional
internal combustion engine vehicles has been prompted due to the energy crisis and …

Maintaining frequency and voltage stability is crucial for the optimal functioning of an
islanded microgrid connected to Distributed Generators (DGs). Conventional Under Voltage …