Publication: The fuzzy decision tree application to a power system problem
Date
2004
Authors
Lo K.L.
Abidin H.I.H.Z
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Abstract
This paper describes voltage collapse in power system networks and how it could lead to a collapse of the whole system. Discusses the effect of machine learning and artificial intelligence leading to new methods. Spotlight the fuzzy decision tree (FDT) method and its application to voltage collapse assessments. Concludes that FDT can identify and group data sets giving a new understanding of its application in voltage collapse analysis.
Description
Keywords
Fuzzy logic , Power transmission systems , Systems theory , Voltage , Voltage fluctuations , Algorithms , Artificial intelligence , Decision theory , Electric breakdown , Electric power systems , Learning systems , System theory , Trees (mathematics) , Fuzzy decision tree , Voltage collapse , Voltage fluctuations , Fuzzy sets