As different artificial intelligence (AI) techniques continue to evolve, power systems are
undergoing significant technological changes with the primary goal of reducing …

There is an increasing concentration in the influences of nonconventional power sources on
power system process and management, as the application of these sources upsurges …

For power system engineers, automated load frequency control (LFC) for multi-area power
networks has proven a difficult problem. With the addition of numerous power generation …

The performance of most evolutionary metaheuristic algorithms relies on various operators.
The crossover operator is a standard based on population-based algorithms, which is …

The generation of energy from renewable sources is a fundamental aspect for the
sustainable development of society, and several energy sources such as solar, biomass …

Global optimization problems are frequently solved using the practical and efficient method
of evolutionary sophistication. But as the original problem becomes more complex, so does …

Modern Computational Techniques for Engineering Applications presents recent
computational techniques used in the advancement of modern grids with the integration of …

This study proposes an enhanced Kepler Optimization (EKO) algorithm, incorporating
fractional-order components to develop a Proportional-Integral-First-Order Double …

The reliance on fossil fuels in transportation can lead to economic costs, such as increased
fuel prices and the cost of environmental damages. These fossil fuels are finite and …

Multilevel inverters (MLI) have gained a significant emphasis in the area of renewable
energy applications in recent years. The popularity of MLIs is due to their ability to efficiently …