Partitioning of electric networks into zones or areas is a procedure that has numerous applications in power system planning, operation and control.

This problem is usually tackled by applying a robust post-processing method on top of spectral clustering [3] or by removing the outliers in advance [6].

Applications of spectral clustering include definition of control zones, analysis of connectivity structure of power networks, intentional controlled islanding, ...

Partitioning of electric networks into zones or areas is a procedure that has numerous applications in power system planning, operation and control.

A greedy algorithm is proposed to solve the connectedness issues inherent to many robust post-processing methods and utilise a label propagation based ...

While spectral clustering becomes significantly more robust to outliers when combined with a robust post-processing method like k-medoids, the connectedness of ...

A post-processing methodology for robust spectral embedded clustering of power networks. Conference paper (2017) - I. Tyuryukanov (author) , Jairo ...

A post-processing methodology for robust spectral embedded clustering of power networks ... power networks based on graph reduction and spectral clustering.

Missing: post- | Show results with:post-

A post-processing methodology for robust spectral embedded clustering of power networks (2017). First Author: Tyuryukanov I. Attributed to: Advanced ...