Visualizing dynamic power system scenarios for data mining
Pierre Geurts, Louis A. Wehenkel · ORBi (University of Liège) · 1998
Abstract — This paper presents a power system dynamic scenario vi-sualization tool which is used to support user interaction in the context of data mining. Data mining may be used in order to extract impor-tant synthetic information from data bases containing power system dynamic trajectories under various conditions, for example generated by simulations or obtained from historical records. Data mining re-lies on automatic learning algorithms, such as decision trees or neural networks, to extract information and uses various graphical tools to communicate this information to the user. The paper describes the type of information stored in dynamic security assessment data bases, the purpose of data mining and the tools developed. A postscript ver-sion of this paper, showing the graphics in color is available from the world wide web at