Table 4 Performance of KNN regressor across DR strategies.

From: Lightweight machine learning framework using temporal features for electric vehicle demand response forecasting on edge devices

Model

Strategy

MAE

MSE

MAPE

CV RMSE

R2

KNN

Peak

clipping

4.159567

31.477085

10.45

0.135

0.323038

KNN

Valley

filling

4.119627

29.946789

14.64

0.192

0.509286

KNN

Load

shifting

4.233089

32.225208

14.26

0.059

0.304923

KNN

Strategic

conservation

4.014993

29.090854

12.78

0.097

0.486773

KNN

Strategic

load growth

4.003756

29.790235

12.81

0.065

0.482959

KNN

Flexible

load shape

4.20319

33.360943

10.22

0.12

0.310909

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