Abstract
An analysis model based on Data Mining is constructed for the power system voltage stability. Improvements of the traditional model of Data Mining are proposed. Data warehouse is established. Data preprocessing and data compression module are derived. The corresponding algorithms are also studied. Support vector machine is provided and discussed emphatically. There are a lot of advantages in this model such as contrary verification and self-perfect. An example is shown in order to testify the feasibility of this model.
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© 2009 Springer-Verlag Berlin Heidelberg
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Zhang, Xy., Wu, Y. (2009). Power System Voltage Stability Analysis Based on Data Mining. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_179
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DOI: https://doi.org/10.1007/978-3-642-03664-4_179
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03663-7
Online ISBN: 978-3-642-03664-4
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