Fault Classification with Convolutional Neural Networks for Microgrid Systems

Figure 11

Classifier training results for fault classification in standalone mode. (a) Truly and falsely classified samples, (b) classification error, (c) true positive and false negative rate, and (d) positive prediction value and false detection ration.

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