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 …

There are both economic and environmental urges for transition from the current outdated
power grid to a sensor-embedded smart grid that monitors system stability, integrates …

The energy management system becomes increasingly indispensable with the extensive
penetration of new players in the distribution networks, such as renewable energy, storage …

In a power distribution network, the network topology information is essential for an efficient
operation. This network connectivity information is often not available at the low voltage (LV) …

Many utilities have the data quality problem with the geographical information system (GIS)
records at distribution level. This affects many business functions of a utility, including asset …

Distributed energy resources (DERs), such as photovoltaic, wind, and gas generators, are
connected to the grid more than ever before, which introduces tremendous changes in the …

Traditional power distribution networks suffer from a lack of real-time observability. This
complicates development and implementation of new smart-grid technologies, such as …

Due to limited instrumentation, distribution grids are currently challenged by observability
issues. On the other hand, smart meter data are communicated to utility operators from …

This paper proposes a novel method for topology detection in distribution networks called
the Time-series signature verification method for topology detection (TSV-Top). The TSV …

This study is motivated by the recent advancements in develo** non-contact line sensor
technologies that come at a low cost, but have limited measurement capabilities. While they …