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 …

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

The increasing need for reducing greenhouse gas emissions and the drive for green cities
have promoted the use of electric vehicles due to their environmental benefits. In fact …

Electricity theft is the third largest form of theft in the United States. It not only leads to
significant revenue losses, but also creates the risk of fires and fatal electrical shocks. In the …

We study the competitive pricing problem of electric vehicle charging station (EVCS). The
EVCS determines its optimal pricing strategy considering the competition from the other …

Many distribution system operations (eg, state estimation, control, fault
detection/localization) rely on the assumption that the underlying topology is accurately …

Distribution network models are often inaccurate or nonexistent. This work considers the
problem of estimating the impedance and topology of distribution networks from noisy …

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

Parameter Estimation (PE) and State Estimation (SE) are the most wide-spread tasks in the
system engineering. They need to be done automatically, fast and frequently, as …