Searching for small-world and scale-free behaviour in long-term historical data of a real-world power grid
B\'alint Hartmann, Vikt\'oria Sug\'ar

TL;DR
This study analyzes 70 years of Hungarian power grid data to identify small-world and scale-free network properties, providing insights into the grid's long-term structural characteristics.
Contribution
First evaluation of small-world and scale-free properties in long-term real-world power grid data using complex network analysis.
Findings
Identification of small-world properties in the power grid
Detection of scale-free degree distribution over time
Insights into the grid's evolving network structure
Abstract
In this paper the authors use the 70-year-long historical dataset of the Hungarian power grid to perform complex network analysis, which is the first attempt to evaluate small-world and scale-free properties on long-term real-world data.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
