The strong volatility and randomness of wind power impact the grid and reduce the voltage
quality of the grid when wind power is connected to the grid in large scale. The power sector …

Artificial neural network (ANN) is an information processing paradigm that loosely models
the thinking patterns of the human brain with specifications such as real-time learning, self …

The accuracy of electric load forecasting is a most influential factor in electricity market for
reliable and economic power supply. The load demand is influenced by the weather …

This paper proposes a Modified Chicken Swarm Optimization (MCSO) in which the local
optima and early convergence problem of Chicken Swarm Optimization (CSO) is addressed …

Abstract Beluga Whale Optimization (BWO) metaheuristic search algorithm has recently
emerged as a promising approach to address benchmark optimization problems. However …

Traditional optimization methods rely on parameter selection and a require high
mathematical performance of the objective function. Thus, swarm intelligence optimization …

Feature selection is a universal combinatorial optimization problem that is used to enhance
the characteristics of high-dimensional datasets by eliminating redundant data and selecting …

In this work, an adequate approach is depicted to endorse the superiority of cascade PI-
fractional order PID (PI-FOPID) controller over PID and FOPID controllers and also to …