Predicting power grid failure
Simplifying Complexity
The Use of Influence Graphs for Modeling and Predicting Network Failures
Influence graphs are developed to model how failures propagate on power grids. Influence graphs represent the network based on the effects one part of the network has on other parts, not through physical connections. Connections in the influence graph are determined by the tendency for the failure of one piece of equipment to be followed by the failure of another. This approach allows failures to propagate through the influence graph more consistently with our expectations, indicating that existing topological models may not effectively predict or explain failures on the power grid.
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