Data-driven models are becoming of fundamental importance in electric distribution
networks to enable predictive maintenance, to perform effective diagnosis and to reduce …

With the shift from the traditional electric grid to the smart grid paradigm, huge amounts of
data are collected during system operations. Data analytics become of fundamental …

Distribution automation (DA) is deployed to reduce outages and to rapidly reconnect
customers following network faults. Recent developments in DA equipment have enabled …

Distribution network monitoring has the potential to improve service levels by reporting the
origin of fault events and informing the nature of remedial action. To achieve this practically …

Power distribution networks are increasingly challenged by ageing plant, environmental
extremes and previously unforeseen operational factors. The combination of high loading …

The widespread integration of intelligent electronic devices has facilitated the employment of
data mining methods in evaluating the operating condition of distribution systems. This …

A significant issue for fault classification in power distribution systems is limited fault data for
training classifiers to identify power failure types for remediation. Measurement data from …

Power distribution systems are susceptible to external environmental disturbances. The
early warning of potential fault risks in both spatial and temporal scales can assist in …

In recent years, with the increasing requirements on power distribution utilities to ensure
system reliability and to improve customers and regulators satisfaction, utilities seek to find …

In-depth understanding of a fault cause in electricity distribution network has always been a
paramount importance to Distributed Network Operators for reliable power supply. Faults in …