From: Forecasting household energy consumption based on lifestyle data using hybrid machine learning
Model | RMSE | MAPE (%) | \({R}^{2}\) |
---|---|---|---|
DT | 40.23 | 6.12 | 0.5766 |
RF | 38.94 | 5.40 | 0.5841 |
SVM | 38.77 | 4.87 | 0.5991 |
ARIMA | 43.49 | 5.16 | 0.5988 |
ARIMA-RF | 37.63 | 4.75 | 0.6967 |
ARIMA-SVM (propose work) | 32.75 | 4.20 | 0.7385 |