Forecasting Electrical Energy Consumption of Equipment Maintenance Using Neural Network and Particle Swarm Optimization

Table 4

The MAPE (%) associated with the four approaches on the testing dataset of 2011.

Organization	ANN	ANN-PSO	R-PSO	ANN-APSO
#1	3.357^+	1.472^+	1.164^+	0.767
#2	6.060^+	1.833^+	2.261^+	0.935
#3	8.248^+	2.707^+	2.095^+	1.363
#4	5.131^+	0.896^+	0.803^+	0.520
#5	3.690^+	0.422^+	0.693^+	0.193
#6	2.851^+	1.658^+	1.827^+	0.079
#7	0.941^+	0.081^+	0.235^+	0.000

In column 2–4, ⁺means that the result of ANN-APSO has statistically significant improvement over that of the comparative algorithm (using paired one-tailed 𝑡-test at a 0.05 level of significance).