Currently, solar energy is one of the leading renewable energy sources that help support
energy transition into decarbonized energy systems for a safer future. This work provides a …

The selection of the mutation strategy for differential evolution (DE) algorithm plays an
important role in the optimization performance, such as exploration ability, convergence …

In order to overcome the low solution efficiency, insufficient diversity in the later search
stage, slow convergence speed and a high search stagnation possibility of differential …

In order to improve the diagnosis accuracy and solve the weak fault signal of rolling element
of rolling bearings due to long transmission path, a novel fault diagnosis method based on …

A variety of data-driven methods have been proposed to predict remaining useful life (RUL)
of key component for rolling bearings. The accuracy of data-driven RUL prediction model …

An improved grasshopper optimization algorithm (GOA) is proposed in this paper, termed as
SGOA, which combines simulated annealing (SA) mechanism with the original GOA that is a …

In order to overcome the slow convergence speed, poor global search ability and difficult
designing rotation angle of quantum-inspired evolutionary algorithm (QEA), an improved …

To improve the accuracy and generalization ability of hyperspectral image classification, a
feature extraction method integrating principal component analysis (PCA) and local binary …

Renewable energy is becoming more popular due to environmental concerns about the
previous energy source. Accurate solar photovoltaic system model parameters substantially …

With the recent emphasis on new energy sources, solar photovoltaic cells have received
widespread attention from scholars as a highly efficient and clean new energy source …