From: Evaluating different machine learning techniques as surrogate for low voltage grids
CIGRE LV | LV-rural3 | ||||
---|---|---|---|---|---|
Model A | Model B | df | t | df | t |
Sim | RE LR | 10.4 | 56.81*** | 2.0 | 25.54* |
Sim | RE RF | 16.7 | -78.38*** | 2.1 | -13.03 |
Sim | RC LR | 11.2 | 60.83*** | 2.0 | 26.32* |
Sim | k-NN | 11.2 | 63.75*** | 2.0 | 26.02* |
Sim | ANN | 9.7 | 64.04*** | 2.0 | 27.77* |
Sim | LSTM | 10.4 | 1.38 | 2.0 | 27.58* |
RE LR | RC LR | 17.3 | 11.94*** | 3.8 | 17.25** |
RE LR | k-NN | 17.3 | 18.78*** | 2.2 | 13.02 |
RE LR | LSTM | 18.0 | -143.72*** | 2.6 | 53.87** |
RC LR | k-NN | 18.0 | 6.23*** | 2.2 | -10.71 |
RC LR | ANN | 14.5 | 2.22 | 3.9 | 40.01*** |
k-NN | ANN | 14.5 | -5.40** | 2.3 | 72.84** |
ANN | LSTM | 16.4 | -183.52*** | 3.2 | -7.44 |