The reliability of the power supply depends on the reliability of the structure of the grid. Grid
networks are exposed to varying weather events, which makes them prone to faults. There is …

Most transmission lines are overhead, spanning possibly thousands of kilometers and are
exposed to different climatic conditions. and therefore prone to faults. This paper develops …

We propose statistical fault detection methodology based on high-frequency data streams
that are becoming available in modern power grids. Our approach can be treated as an …

Reliability of the electric grid structure for the transmission and distribution of power from the
generating plants to the consumers, is an essential requirement for the reliability of electric …

In smart electrical grids, fault detection tasks may have a high impact on society due to their
economic and critical implications. In the recent years, numerous smart grid applications …

Automatic fault type classification is an important ingredient of smart electrical grids. Similar
to other machine-learning models, methods developed for fault classification suffer from the …

More than a decade after its introduction, the concept of a smart grid remains essential to the
industry's ongoing digital transformation. A smart grid (SG) is an electricity network that …

The structure of power flows in transmission grids is evolving and is likely to change
significantly in the coming years due to the rapid growth of renewable energy generation …

The detection of faults in smart electrical grids is a crucial task as it can have significant
economic and societal impacts. In recent years, data-driven approaches have been adopted …

Power quality is a global issue due to electronic equipment becoming the backbone of the
modern-day economy; it affects distribution, transmission networks, and consumers. This …