Research Article
Establishing an AI Model on Data Sensing and Prediction for Smart Home Environment Control Based on LabVIEW
Table 1
Part of the training data recorded between 2001 and 2018.
| Input data | Output data | Day | Time | Temperature | Humidity | People | Illumination | Time | Temperature | Humidity | People | Illumination |
| 1/1 | 1:00 | 14 | 60 | 2 | 95 | 2:00 | 16.7 | 81 | 4 | 115 | 1/1 | 12:00 | 13.7 | 63 | 4 | 115 | 13:00 | 16.4 | 81 | 4 | 117 | 1/3 | 23:00 | 13.4 | 65 | 4 | 117 | 24:00 | 15.9 | 82 | 0 | 18 | 1/1 | 4:00 | 13.7 | 62 | 0 | 18 | 5:00 | 15.3 | 85 | 0 | 18 | 1/2 | 7:00 | 12.4 | 67 | 0 | 18 | 8:00 | 15.6 | 83 | 1 | 87 | 1/4 | 9:00 | 11.6 | 71 | 1 | 87 | 10:00 | 15.8 | 84 | 1 | 89 |
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