AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
2min snip
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.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode