Simultaneous Load Identification Method Based on Hybrid Features and Genetic Algorithm for Nonintrusive Load Monitoring

Table 5

Results by different fitness function.

No.	Re-GA		Co-GA
	Design variables, x	Accuracy	Design variables, x	Accuracy
1	[0, 0, 0, 1, 0, 0, 0, 0, 0, 0]	True	[0, 0, 0, 1, 0, 0, 0, 0, 0, 0]	True
2	[1, 1, 0, 0, 1, 0, 0, 0, 1, 0]	True	[1, 1, 1, 0, 0, 0, 0, 0, 0, 0]	False
3	[1, 0, 1, 0, 0, 0, 0, 0, 0, 1]	True	[0, 0, 1, 0, 0, 0, 0, 0, 0, 1]	False
4	[1, 1, 1, 0, 0, 0, 1, 0, 0, 1]	True	[1, 1, 1, 0, 0, 0, 1, 0, 0, 1]	True
5	[1, 0, 1, 0, 0, 1, 0, 0, 0, 1]	True	[1, 0, 1, 0, 0, 1, 0, 0, 0, 1]	True
6	[1, 1, 1, 0, 0, 0, 0, 0, 0, 1]	False	[1, 1, 1, 0, 0, 0, 0, 0, 1, 1]	True
7	[0, 1, 0, 0, 1, 0, 0, 1, 0, 1]	False	[1, 1, 0, 0, 1, 0, 0, 1, 0, 1]	True
8	[0, 1, 1, 0, 0, 0, 0, 1, 0, 1]	True	[1, 1, 1, 0, 0, 0, 0, 1, 0, 1]	False