Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …

The transmission and distribution systems are essential in facilitating power flow from the
source multiple loads over large distances with high magnitudes of voltages and currents …

This paper proposes an efficient channel impulse response (CIR)-based technique to detect
topology changes in the power grid. The features of the proposed approach include the …

To monitor and handle big data obtained from electrical, electronic, electro-mechanical, and
other equipment linked to the power grid effectively and efficiently, it is important to monitor …

This article reviews the basis and the main aspects of the recent evolution of Broadband
Power Line Communications (BB-PLC or, more commonly, BPL) technologies. The article …

This paper focuses on a comprehensive analysis of typical power line communication (PLC)
pulses for sensing high impedance faults in power distribution networks (PDNs) when the …

Introduction: With the development of artificial intelligence technology, more and more fields
are applying deep learning and reinforcement learning techniques to solve practical …

This paper deals with fault detection and isolation (FDI) in complex embedded wired
communication networks. The considered faults are soft faults which do not prevent the …

Power line communication (PLC) is considered one of the possible communication
technologies for applications in the field of smart metering, smart substations, smart homes …

The implementation of power line communications (PLC) in smart electricity grids provides
us with exciting opportunities for real-time cable monitoring. In particular, effective fault …