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

Table 6

Power and relative error by different fitness function.

No.	FWF-GA		Re-GA		Co-GA
	Power (W, Var)	Relative error	Power (W, Var)	Relative error	Power (W, Var)	Relative error
1	[64.96, 12.82]	[0.0533, 0.0832]	[64.96, 12.82]	[0.0533, 0.0832]	[64.96, 12.82]	[0.0533, 0.0832]
2	[389.79, 14.98]	[0.1958, 0.0154]	[389.79, 14.98]	[0.1958, 0.0154]	[463.16, 4.97]	[0.0444, 0.4598]
3	[531.37, 42.71]	[0.0268, 0.059]	[531.37, 42.71]	[0.0268, 0.059]	[507.17, 35.92]	[0.0200, 0.1093]
4	[727.98, 68.53]	[0.0024, 0.3316]	[727.98, 68.53]	[0.0024, 0.3316]	[727.98, 68.53]	[0.0024, 0.3316]
5	[784.81, 284.64]	[0.0022, 0.3108]	[784.81, 284.64]	[0.0022, 0.3108]	[784.81, 284.64]	[0.0022, 0.3108]
6	[572.11, 43.33]	[0.3509, 0.0306]	[572.11, 43.33]	[0.3509, 0.0306]	[885.34, 50.87]	[0.0045, 0.2100]
7	[1483.63, 51.61]	[0.0013, 0.2265]	[1459.43, 44.82]	[0.0176, 0.0651]	[1483.63, 51.61]	[0.0013, 0.2265]
8	[1846.03, 45.35]	[0.0201, 0.1410]	[1846.03, 45.35]	[0.0201, 0.1410]	[1870.23, 52.14]	[0.0072, 0.3118]