Table 3 Linear regression models explaining logaritmized CPD with each influencing factor separately
From: Explaining and predicting annual electricity demand of enterprises – a case study from Switzerland
Model 1 | Model 2 | Model 3 | Model 4 | |
|---|---|---|---|---|
(Intercept) | 2.36∗∗∗ (0.23) | 3.59∗∗∗ (0.13) | 3.84∗∗∗ (0.04) | 4.28∗∗∗ (0.12) |
log(area + 1) | 0.24∗∗∗ (0.04) | |||
opening hours per week | 0.01∗∗∗ (0.00) | |||
combined number of ratings | 0.02∗∗∗ (0.00) | |||
number of facebook visits | 0.00∗∗∗ (0.00) | |||
R2 | 0.02 | 0.03 | 0.02 | 0.08 |
Adj. R2 | 0.02 | 0.03 | 0.02 | 0.08 |
Num. obs. | 1810 | 700 | 1810 | 202 |
RMSE | 1.67 | 1.67 | 1.67 | 1.57 |