In the current era, Artificial Intelligence (AI) is becoming increasingly pervasive with
applications in several applicative fields effectively changing our daily life. In this scenario …

This paper proposes an ensemble Random Subspace (RS) classifier for discrimination of
High Impedance Fault (HIF) in photovoltaic connected power network. The design and …

The integration of Digital Twin (DT) technology into the photovoltaic (PV) sector represents a
significant advancement in energy management, optimization, servicing, and maintenance …

Abstract Machine Vision is an advanced and powerful imaging based technique that has
been applied in various fields like robotics, inspection and process control. Machine vision …

This study proposes a novel approach utilizing a voting-based ensemble technique to
diagnose visible faults in photovoltaic (PV) modules from aerial images captured by …

The improvement of fault prediction and diagnosis in industrial systems is crucial to minimize
unscheduled shutdowns. However, the predictive performance of current models for thermal …

With the advancement of technology, the demand for high quality and sustainable electrical
energy has been increased due to the widespread use of electrical devices in our daily lives …

Presently, the issue of power quality (PQ) disturbances in electrical power system has been
greater than before owing to increased use of power electronics based nonlinear loads. This …

In this research, we introduce an artificial gorilla troop optimizer for use in artificial neural
networks that manage energy consumption in DC–AC hybrid distribution networks. It is …

The growing digital transformation has increased the need for effective intrusion detection
systems. Traditional intrusion detection systems face challenges in accurately classifying …