Automatic Diagnosis of Microgrid Networks’ Power Device Faults Based on Stacked Denoising Autoencoders and Adaptive Affinity Propagation Clustering

Table 4

The error classification accuracy obtained through various models (the training dataset).

Model	Dataset	Error rate (%)
		FCM	GK	GG	adAP
SAE	A	8.15	16.3	6.03	—
	B	2.59	3.33	2.59	4.07
SDAE	A	11.1	21.1	11.1	0
	B	12.9	4.81	11.1	2.22