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 large-scale roll-out of smart meters allows the collection of a vast amount of fine-grained
electricity consumption data. Once analyzed, such data can enable cutting-edge data-driven …

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

This paper provides a survey of big data analytics applications and associated
implementation issues. The emphasis is placed on applications that are novel and have …

Real-time monitoring and control of smart grids (SGs) is critical to the enhancement of
reliability and operational efficiency of power utilities. We develop a real-time anomaly …

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

Unveiling feeder topologies from data is of paramount importance to advance situational
awareness and proper utilization of smart resources in power distribution grids. This tutorial …

The identification of the distribution system topology is the key concern in distribution system
state estimation and the precondition for its energy management. However, lacking sufficient …

This paper proposes an efficient algorithmic approach that overcomes the critical challenges
in real-time unbalanced distribution system state estimation, topology error processing, and …

To perform any meaningful optimization task, power distribution operators need to know the
topology and line impedances of their electric networks. Nevertheless, distribution grids …