The ongoing transition to renewable energy supply comes with a restructuring of power
grids, changing their effective interaction topologies, more and more strongly decentralizing …

There is a strong need for synthetic yet realistic distribution system test data sets that are as
diverse, large, and complex to solve as real systems. Such data sets can facilitate the …

Abstract Purpose of Review Engineering analysis and design for large-scale electric power
grids require advanced modeling and simulation capabilities for a variety of studies, with two …

Creating synthetic networks and datasets for power distribution network is challenging due
to continuous expansion of networks, integration of new low carbon technologies and large …

The volatility spillover effects among bulk mineral commodities is an important and hot issue
in mineral resource policy. This paper applies a network theory approach that incorporates a …

The reliable operation of power transmission networks depends on the timely detection and
localization of faults. Fault classification and localization in electricity transmission networks …

Synthetic networks aim at generating realistic projections of real-world networks while
concealing the actual system information. This paper proposes a scalable and effective …

Synthetic power graphs have recently been widely used to assist researchers in analyzing
power grids as complex networks. In general, power graphs are sparsely connected, scale …

Assessing novel methods for increasing power system resilience against cyber-physical
hazards requires real power grid data or high-quality synthetic data. However, for security …

Power system benchmarks are transmission and distribution networks used to evaluate
novel control algorithms and simulate grid evolution scenarios. These benchmarks range in …