Research Article
Machine Learning-Based CO2 Prediction for Office Room: A Pilot Study
Table 1
Statistical data for every major parameter in the study.
| Parameter | Symbol | Unit | Min | Max | Mean | Std. | Kurtosis | Skewness | Type |
| Occupants | | Nos. | 1 | 4 | 2.1479 | 1.0157 | 1.3274 | -0.0938 | Input | Office area | | m2 | 6 | 24 | 14.7929 | 7.8322 | 1.1397 | 0.3022 | Input | Air quality | AQI | — | 51 | 155 | 94.8639 | 24.7369 | 2.6583 | 0.5255 | Input | Air temp. | | °C | 22 | 42 | 31.6923 | 4.0473 | 2.3903 | 0.2013 | Input | Rel. humidity | RH | % | 21 | 100 | 63.0178 | 19.1552 | 2.1424 | -0.0733 | Input | Wind speed | | m/s | 1.3 | 23.1 | 8.7183 | 3.9735 | 3.3857 | 0.8041 | Input | Indoor CO2 | CO2 | Ppm | 445 | 572 | 509.7515 | 27.0277 | 2.2640 | 0.0202 | Output |
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