Hybrid Machine Learning Model for Electricity Consumption Prediction Using Random Forest and Artificial Neural Networks

Table 6

Performance of proposed predictive models on the test sample.

Predictive model	No. of nodes in input layer	RMSE	MAPE	NRMSE	SMAPE	R^2	Acc
BPNN	21	0.0415	8.1999	0.0458	21.0117	0.9638	0.9631
PCA 1 + BPNN	9	0.0601	10.5201	0.0596	28.0458	0.6910	0.7921
PCA 2 + BPNN	13	0.0405	8.5201	0.0499	22.0321	0.8913	0.8908
SWR + BPNN	12	0.0454	8.1921	0.0488	21.0112	0.9492	0.9487
RF 1 + BPNN	18	0.0416	8.1992	0.0470	21.0114	0.9932	0.9926
RF 2 + BPNN	11	0.0419	8.1994	0.0475	21.0117	0.9930	0.9923