1991
DOI: 10.1016/0005-1098(91)90010-y
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Decision trees and transient stability of electric power systems

Abstract: A general inductive inference method is proposed and applied to the automatic building of decision trees for the transient stability assessment of power systems. On the basis of large sets of simulations, the essential features of the method are analysed and illustrated.

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Cited by 62 publications
(22 citation statements)
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“…Usually the optimal value of α is quite independent of the learning set and of specific problems of the disturbance, such as type, location and size of the system [24]. According to [25], the optimum value for α lies between [0.00005; 0.001]. The tT value defines how the security rule is generated from the DT structure.…”
Section: A Offline Computation Of Security Rules 1) Methodology For mentioning
confidence: 99%
“…Usually the optimal value of α is quite independent of the learning set and of specific problems of the disturbance, such as type, location and size of the system [24]. According to [25], the optimum value for α lies between [0.00005; 0.001]. The tT value defines how the security rule is generated from the DT structure.…”
Section: A Offline Computation Of Security Rules 1) Methodology For mentioning
confidence: 99%
“…With respect to Quinlan's gain ratio, this normalization, proposed by Wehenkel and Pavella (1991), has the advantage of being symmetric in c and s and it also further mitigates the "end-cut" preference of this latter measure (Wehenkel, 1998). For a discussion of entropy based score measures and normalization, the interested reader can refer to (Wehenkel, 1996).…”
Section: Appendixmentioning
confidence: 99%
“…The obtained thresholds not only build a fast prediction model, but also formulate the assessment plans and in turn infer the preventive control rules. This superiority makes DTs very popular for designing static, dynamic security and also transient stability of power systems [9][10][11][12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%