Predicting the Window Opening State in an Office to Improve Indoor Air Quality †
Abstract
:1. Introduction
2. Methodology
2.1. Study Case and Parameters Selection
2.2. Classification Model Implementation
- ALL CLOSED: less than 1 window is opened ()
- MOSTLY CLOSED: from 1 to less than 2 windows are opened ()
- MOSTLY OPENED: from 2 to less than 4 windows are opened ()
- ALL OPENED: 4 windows or more are opened ()
3. Results and Discussion
4. Conclusions
References
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Features | Indoor CO2 (ppm) | Indoor T (C) | Outdoor T (C) | Indoor RH (%) | Outdoor RH (%) |
---|---|---|---|---|---|
Max value | 1144 | 31.3 | 35.6 | 74.6 | 100.0 |
Min value | 416.8 | 15 | −4.3 | 18.3 | 26.9 |
Mean value | 501.1 | 23 | 13.5 | 44.2 | 82.2 |
Median value | 480.5 | 22.4 | 13.5 | 42.9 | 86.7 |
Std value | 64.3 | 2.3 | 6 | 9.3 | 16.2 |
Month | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
---|---|---|---|---|---|---|---|---|---|---|---|---|
No. of samples | 96 | 87 | 96 | 96 | 96 | 93 | 99 | 96 | 93 | 99 | 93 | 96 |
Accuracy | 0.99 | 0.91 | 0.85 | 0.77 | 0.92 | 0.83 | 0.77 | 0.76 | 0.71 | 0.89 | 0.97 | 0.98 |
Hour | 1st | 2nd | 3rd | 4th | 5th | 6th | 7th | 8th | 9th | 10th | 11th | 12th |
---|---|---|---|---|---|---|---|---|---|---|---|---|
No. of samples | 44 | 44 | 46 | 48 | 49 | 49 | 48 | 48 | 48 | 48 | 48 | 48 |
Accuracy | 0.91 | 0.91 | 0.96 | 0.96 | 0.96 | 0.98 | 0.98 | 0.96 | 0.90 | 0.67 | 0.73 | 0.81 |
Hour | 13th | 14th | 15th | 16th | 17th | 18th | 19th | 20th | 21st | 22nd | 23rd | 24th |
No. of samples | 48 | 48 | 48 | 48 | 48 | 48 | 48 | 48 | 48 | 48 | 47 | 45 |
Accuracy | 0.85 | 0.81 | 0.85 | 0.90 | 0.79 | 0.88 | 0.81 | 0.73 | 0.81 | 0.85 | 0.89 | 0.78 |
Day | Mon | Tue | Wed | Thu | Fri | Sat | Sun |
---|---|---|---|---|---|---|---|
No. of samples | 162 | 161 | 166 | 162 | 164 | 161 | 164 |
Accuracy | 0.86 | 0.84 | 0.83 | 0.84 | 0.76 | 0.96 | 0.93 |
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Nguyen, T.H.; Ionescu, A.; Ramalho, O.; Géhin, E. Predicting the Window Opening State in an Office to Improve Indoor Air Quality. Eng. Proc. 2021, 5, 24. https://doi.org/10.3390/engproc2021005024
Nguyen TH, Ionescu A, Ramalho O, Géhin E. Predicting the Window Opening State in an Office to Improve Indoor Air Quality. Engineering Proceedings. 2021; 5(1):24. https://doi.org/10.3390/engproc2021005024
Chicago/Turabian StyleNguyen, Thi Hao, Anda Ionescu, Olivier Ramalho, and Evelyne Géhin. 2021. "Predicting the Window Opening State in an Office to Improve Indoor Air Quality" Engineering Proceedings 5, no. 1: 24. https://doi.org/10.3390/engproc2021005024