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GooglePatent applicationAI & softwareInterest 4/10

Google patents AI tool to check power grid maps for errors

Google describes a method for verifying computer models of electric power grids by turning them into a network of connected points. A machine learning model checks these connections to flag links that are likely incorrect, helping engineers fix the map.

Why it mattersThis could help utility companies maintain accurate digital records of their infrastructure, which is essential for managing power distribution and planning repairs.

In the filing’s own words

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for developing electrical grid mapping. One of the methods includes obtaining a computer model of an electric power grid; generating a network graph representation of the computer model, wherein nodes of the network graph represent grid assets of the computer model and edges of the network graph represent wires connecting the grid assets; generating an initial prediction of links between nodes in the network graph by adding at least one edge to the network graph to obtain an over-connected graph; applying the over-connected network graph as input to a machine learning model to obtain an annotated network graph, the machine learning model configured to identify edges as positive links and negative links, and apply annotations to the edges indicating whether each edge is a positive or negative link; and updating the model based on the annotated network graph.

What exactly they claim (claim 1)

1. An electric power grid model verification method comprising: obtaining a computer model of an electric power grid; generating a network graph representation of the computer model, wherein nodes of the network graph represent electric grid assets of the computer model and edges of the network graph represent wires connecting the electric grid assets; generating an initial prediction of links between nodes in the network graph by adding at least one edge to the network graph to obtain an over-connected network graph; applying the over-connected network graph as input to a machine learning model to obtain an annotated network graph, the machine learning model configured to identify edges as positive links and negative links, and apply annotations to the edges indicating whether each edge is a positive or a negative link; and updating the computer model based on the annotated network graph.

Facts

Company
Google (X Development LLC)
Official title
ELECTRIC GRID CONNECTION MAPPING
Publication number
US20260268034A1
Application number
19660871
Filed
Apr 28, 2026
Published
Sep 10, 2026
Inventors
2
Claims
20

Classified under

G06F 30/18 Physics & computingG01R 31/086 Physics & computingH02J 13/1315 Electricity & electronicsG06F 2113/04 Physics & computing
Read the full filing (official PDF) ↗ Open in the Patent Tracker

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.