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Recent studies show that pattern-recognition-based transient stability assessment (PRTSA) is a promising approach for predicting the transient stability status of power systems. However, many of the current well-known PRTSA methods suffer from excessive training time and complex tuning of parameters, resulting in inefficiency for real-time implementation and lacking the online model updating ability...
Recently, pattern recognition-based transient stability assessment methods have shown much potential for on-line transient stability assessment (TSA) of power systems. However, the current models usually suffer from excessive training time and parameter tuning difficulties, leading to inefficiency for online model updating. Considering the possible real-time information provided by phasor measurement...
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