The New Definitions of Loss Function for the Model-Based Parameter Identification Method in Power Distribution Network

Table 7

The results of parameter identification by MCMC and GA based on the proposed loss function.

Method	MAE	RMSE	MAPE
MCMC	11.3743 ± 0.0733	13.9676 ± 0.0886	0.1859 ± 0.0012
MCMC-LR	33.1434 ± 27.6397	34.9127 ± 27.0669	0.5417 ± 0.4518
MCMC-R1	5.4171 ± 0.0056	6.8198 ± 0.0061	0.0885 ± 0.0001
MCMC-R2	5.4254 ± 0.0106	6.8254 ± 0.0090	0.0887 ± 0.0002
MCMC-AIC	5.4174 ± 0.0053	6.8184 ± 0.0037	0.0885 ± 0.0001
MCMC-BIC	5.4196 ± 0.0079	6.8214 ± 0.0078	0.0886 ± 0.0001
MCMC-R1	5.4171 ± 0.0056	6.8198 ± 0.0061	0.0885 ± 0.0001
GA	11.2988 ± 0.0956	13.8778 ± 0.1146	0.1847 ± 0.0016
GA-LR	7.1978 ± 0.7169	8.9569 ± 0.8580	0.1177 ± 0.0117
GA-R1	5.4135 ± 0.0031	6.8144 ± 0.0018	0.0885 ± 0.0001
GA-R2	5.4237 ± 0.0063	6.8206 ± 0.0054	0.0886 ± 0.0001
GA-AIC	5.4125 ± 0.0029	6.8137 ± 0.0024	0.0885 ± 0.0000
GA-BIC	5.4129 ± 0.0034	6.8137 ± 0.0027	0.0885 ± 0.0001
GA-R1	5.4135 ± 0.0031	6.8144 ± 0.0018	0.0885 ± 0.0001