Research Article

An Extensible Gradient-Based Optimization Method for Parameter Identification in Power Distribution Network

Table 4

The performance of AGBO-Pro under different learning rates.

Learning rateMAERMSEMAPE

5e − 25.850 ± 0.1927.365 ± 0.2660.0956 ± 0.00315
1e − 25.486 ± 0.2426.916 ± 0.2660.0897 ± 0.0028
5e35.131±0.0936.514±0.1520.0839±0.0015
1e − 35.486 ± 0.1726.916 ± 0.2420.0897 ± 0.0028
1e − 48.231 ± 0.32711.121 ± 0.4930.135 ± 0.0053
1e − 58.545 ± 0.05711.454 ± 0.3260.140 ± 0.0009

The bold values indicate that with the learning rate 5e − 3, the model has the lowest values in three evaluation functions.