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This paper introduces the design and implementation of a novel phase selection technique using both wavelet transform algorithms and neural network technique to improve the accuracy and efficiency compared with traditional phase selection algorithm under a wide variety of different system and fault conditions. The technique is based on using sharp transitions of current signals generated on the faulted...
In this paper, an approach is proposed for time series prediction based on modified probability neural network (MPNN). Bayesian-statistics and decision-making theories and non-parameters density function estimation using Parzen-window function are applied to MPNN. The efficiency of the approach was demonstrated by a case study, an application for prediction on moonlet power system data, through comparison...
The steady-state operation of maintaining voltage stability is done by switching various controllers scattered all over the network. When a contingency occurs, whether forced or unforced, the dispatcher is to alleviate the problem in a minimum time, cost, and effort. Persistent problem may lead to blackout. The dispatcher is to have the appropriate switching of controllers in terms of type, location,...
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