Neural Network Based Approach for Steady-State Stability Assessment of Power Systems
Neural Network Based Approach for Steady-State Stability Assessment of Power Systems
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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The quest for an intelligence compliance system to solve power stability problems in real-time with high predictive accuracy, and efficiency has led to the discovery of deep learning (DL) techniques. This paper investigates the potency of several artificial neural network (ANN) techniques in assessing the steady-state stability of a power system. T...
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Neural Network Based Approach for Steady-State Stability Assessment of Power Systems
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TN_cdi_proquest_journals_2767300249
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2767300249
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ISSN
2071-1050
E-ISSN
2071-1050
DOI
10.3390/su15021667
