This paper proposes a data-driven approach to detect the switching actions and topology
transitions in distribution networks. It is based on the real time analysis of time-series …

This paper proposes a novel approach to detecting the topology of distribution networks
based on the analysis of time series measurements. The analysis approach draws on data …

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 paper proposes a novel data driven framework for detecting topology transitions in a
distribution network. The framework analyzes data from phasor measurement units (PMUs) …

With the integration of intermittent renewable energy sources in the distribution network, the
number of network reconfiguration events has increased significantly. In a medium voltage …

This paper contributes to the literature on topology identification (TI) in distribution networks
and, in particular, on change detection in switching devices' status. The lack of …

Identifying network dynamic topology changes with limited measurement data is a primary
challenge for power distribution system analysis. Existing methods require the measurement …

This paper proposes a state estimation algorithm for the monitoring of topological changes
in distribution networks, using real measurements at substations, pseudo measurements at …

We consider here the problem of detecting changes in the status of switching devices, circuit
breakers in particular, in distribution networks. The lack of measurements in distribution …

This paper proposes a novel phase identification method for distribution networks where
phases can be severely unbalanced and insufficiently labeled. The analysis approach …