| Title/Description of the element | In this case |
| Case name | Ventilation system in an office building |
| Significant energy use | Ventilation: electricity consumption in kWh |
| data frequency/highest common interval between observation | 1/86,400 Hz (24 h) |
| Baseline period | 1st November 2017-1st November 2018 |
| ECM implementation | 2nd November 2018 |
| Reporting period | 3rd November 2018-24th July 2019 |
| Achieved savings | 5739.801 kWh |
| 95% prediction interval | +/− 369.784 kWh (6.4% of est. savings) |
| Regression model | Y = 14.05 + 207.78D1 + 179.04D2 + 164.42D3 + 163.05D4 + 164.35D5 + 98.33D6 − 19.91D7 |
| R2 | 0.97 |
| Root mean squared error (RMSE) | 15.83 |
| Coefficient of variation CV(RMSE) | 0.12 |
| Table of coefficients |
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