A review of distribution network applications based on smart meter data analytics
CL Athanasiadis, TA Papadopoulos… - … and Sustainable Energy …, 2024 - Elsevier
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 …
electricity consumption data. Once analyzed, such data can enable cutting-edge data-driven …
Learning distribution grid topologies: A tutorial
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 …
awareness and proper utilization of smart resources in power distribution grids. This tutorial …
Power distribution network topology detection with time-series signature verification method
G Cavraro, R Arghandeh - IEEE Transactions on Power …, 2017 - ieeexplore.ieee.org
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 …
the Time-series signature verification method for topology detection (TSV-Top). The TSV …
Power outage prediction for natural hazards using synthetic power distribution systems
Power outage prediction for natural hazards usually relies on one of two approaches,
statistical models or fragility-based methods. Statistical models have provided strong …
statistical models or fragility-based methods. Statistical models have provided strong …
Full-scale distribution system topology identification using Markov random field
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 …
state estimation and the precondition for its energy management. However, lacking sufficient …
Exact topology and parameter estimation in distribution grids with minimal observability
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 …
operation and participation in real-time markets. In particular lack of real-time information on …
Distribution network admittance matrix estimation with linear regression
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 …
of the distribution network with little or no observability. This paper proposes a method to …
Topology estimation using graphical models in multi-phase power distribution grids
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 …
collection of trees with a substation at the root of each tree. The operational topology may …
Machine learning for power outage prediction during hurricanes: An extensive review
The surge of machine learning (ML) applications and increasing usage of data driven
approach for resilience enhancement provide great opportunities for applying ML …
approach for resilience enhancement provide great opportunities for applying ML …
Inverter probing for power distribution network topology processing
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 …
is a prerequisite for solving any grid optimization task. Although distribution grids lack …