The increased interest in renewable-based microgrids imposes several challenges, such as
source integration, power quality, and operating cost. Dealing with these problems requires …

For many electrical systems, such as renewable energy sources, their internal parameters
are exposed to degradation due to the operating conditions. Since the model's accuracy is …

Real-world optimization problems require some advanced metaheuristic algorithms, which
functionally sustain a variety of solutions and technically explore the tracking space to find …

Microarray analysis of gene expression can help with disease and cancer diagnosis and
prognosis. Identification of gene biomarkers is one of the most difficult issues in microarray …

According to the increase of energy consumption, wind energy penetration in power
generation systems, the wind energy uncertainty and also, due to complex and nonlinear …

Accurate parameter estimation of the equivalent circuit model (ECM) for Li-Ion batteries
(LiBs) allows for better behavior modeling and understanding. This is crucial for various …

Bald eagle search algorithm (BES) is a recent metaheuristic algorithm based on bald eagle
hunting behavior. Like other metaheuristic algorithms, the BES algorithm is prone to …

COOT algorithm is a recent metaheuristic algorithm that simulates American coot birds when
moving in the sea. However, the COOT algorithm like other metaheuristic techniques may be …

This manuscript proposes a hybrid method for measuring the battery's dynamic electrical
response as it is compressed by an external-force. The proposed hybrid technique is the …

This research article emphasizes the combined automatic generation control (AGC) and
automatic voltage regulator (AVR) problem for an interconnected hybrid system having …