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 …

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 …

Power outage prediction for natural hazards usually relies on one of two approaches,
statistical models or fragility-based methods. Statistical models have provided strong …

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 …

Limited presence of nodal and line meters in distribution grids hinders their optimal
operation and participation in real-time markets. In particular lack of real-time information on …

Topology identification and parameter estimation form the basis for the operation and control
of the distribution network with little or no observability. This paper proposes a method to …

Power distribution grids are structurally operated radially, such that energized lines form a
collection of trees with a substation at the root of each tree. The operational topology may …

The surge of machine learning (ML) applications and increasing usage of data driven
approach for resilience enhancement provide great opportunities for applying ML …

Knowing the connectivity and line parameters of the underlying electric distribution network
is a prerequisite for solving any grid optimization task. Although distribution grids lack …