Decision trees for real-time transient stability prediction

By S. Rovnyak, S. Kretsinger, J. Thorp, D. Brown. 1994

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI (2019, neutral): “Many applications of these models fall out of the fields of computation and AI (even information technologies), meaning that experts from other fields usually feel comfortable interpreting the outputs of these models [183, 184, 185].”
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey (1998, background): “Power systems: For power system security assessment [144] and power stability prediction [317].”
New methods for computing power system dynamic response for real-time transient stability prediction (2000, background): “Previously, in [9]–[11] short-term prediction algorithms for the above two strategies were proposed.”
Decision Tree-Based Online Voltage Security Assessment Using PMU Measurements (2009, background): “Several applications involving decision trees have been addressed in real-time transient stability prediction and assessment, voltage security monitoring and estimation, loss of synchronism detection and timing of controlled separation in power systems [11]–[19].”
Support vector machines for transient stability analysis of large-scale power systems (2004, methodology): “, speed and acceleration at each generation bus are calculated from the synchronized phasor measurements) [23].”