As the landscape of electric power systems is transforming towards decentralization, small-
scale electric power systems have garnered increased attention. Meanwhile, the …

The integration of renewable energy sources and microgrids has become a key focus in the
pursuit of sustainable and resilient power systems. Microgrids, being decentralized and …

The smart microgrid system should have the ability to rapidly detect and classify every type
of disturbance that happens in the network to operate the protection scheme and maintain …

Electrical power quality is one of the main elements in power generation systems. At the
same time, it is one of the most significant challenges regarding stability and reliability. Due …

Fast and accurate detection of power system disturbance (PSD)-creating events is very
much essential for the safe and reliable operation of today's power distribution network. This …

In contemporary business environments, manufacturing companies must continuously
enhance their performance to ensure competitiveness. Material feeding systems are of …

Determining the number of sources under low signal-to-noise ratio (SNR) and signal
interference with the same frequency and modulation presents a significant challenge. To …

Detection and classification of power system instabilities due to the raised transient effect
during switching operation of different kinds of load, capacitor bank, large sized induction …

Abstract Binarized Neural Network (BNN) is a technique for reducing computational
complexity and memory requirements by constraining weights and activations to binary …

In this paper, we introduce a technique for detecting and classifying transients within an
electrical signal. Our approach uses the standard matched filter for transient detection and …