The use of wind power, a pollution-free and renewable form of energy, to generate electricity
has attracted increasing attention. However, intermittent electricity generation resulting from …

The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …

To counter the challenges posed by the unpredictability of wind velocities on wind energy
production, a wind speed prediction model combining chaotic map**-based particle …

Short-term wind speed forecast is of great importance to wind farm regulation and its early
warning. Previous studies mainly focused on the prediction at a single location but few …

Introduction The main feature selection methods include filter, wrapper-based, and
embedded methods. Because of its characteristics, the wrapper method must include a …

Precise wind speed forecasting contributes to wind power consumption and power grid
schedule as well as promotes the implementation of global carbon neutrality policy …

In this study, the sizing optimization and design of an autonomous AC microgrid is
performed using the Harris Hawks Optimization (HHO) algorithm. The objective is to …

Short-term wind speed forecasting with high accuracy puts forward a positive influence on
implementation of power system dispatch and wind energy utilization. Accordingly, to further …

In this review, we intend to present a complete literature survey on the conception and
variants of the recent successful optimization algorithm, Harris Hawk optimizer (HHO), along …

Wind power forecasting (WPF) is the crucial technology for power system operation with
large-scale grid-connected wind farms. A large number of related studies have emerged …