Grey wolf optimization algorithm (GWO) has achieved great results in the optimization of
neural network parameters. However, it has some problems such as insufficient precision …

This research proposes a new approach to power line fault identification using artificial
intelligence technology, aimed at improving accuracy and reducing identification time. The …

The purpose of this paper is to demonstrate how machine-learning algorithms can be used
to predict the detection and classification of faults in transmission lines. Voltages and …

A optimization, selects the best option from a list of possible options to meet a predetermined
set of criteria. In pursuit of the best and most optimal solution for a particular issue, this …

To address the problem of diagnostic accuracy and stability degradation caused by random
selection of the initial parameters for the wavelet neural network (WNN) fault diagnosis …

A fault line selection approach on the basis of modified artificial bee colony optimization
deep neural network (ACB-DNN) is presented to address the difficulties in choosing a fault …

The transmission line is the main component in the power system consisting of inductance,
capacitance, and resistance. These parameters are important during the transmission line …

Power lines are one of the most common engineering systems designed to transmit large
amounts of electricity from one corner of the country to as far away in other directions. The …

In high voltage direct current (HVDC) systems, detecting faults has gained a lot of
importance. Due to bulk power transmitted through the system where any faults not detected …

An essential piece of equipment for the protection and management of the electricity grid is a
high voltage (HV) circuit breaker. The reliability and stability of the electricity grid are directly …