EM-TSA: An ensemble machine learning-based transient stability assessment approach for operation of power systems.

The transient stability of power systems plays the key role in their smooth operation, which is influenced by many working condition factors. To automatically evaluate transient stability status precisely for power systems remains a practical issue. To realize data-driven evaluation for the transient stability of the power systems, this paper proposes an ensemble machine learning-based assessment approach for transient stability status of power systems, which is named as EM-TSA for short.