Naive Bayes for Smart Building Management: Predicting Workspace Occupancy
Occupancy detection plays a crucial role in building management, by improving living conditions and optimizing energy efficiency. So, our paper is a part of this perspective and is divided into two parts. Initially, we delve into the significance of detecting occupancy in buildings, emphasizing its...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
|
| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_01006.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841554732740509696 |
|---|---|
| author | Ennejjar Mohammed Chabaa Samira Ali Jallal Mohammed Zeroual Abdelouhab |
| author_facet | Ennejjar Mohammed Chabaa Samira Ali Jallal Mohammed Zeroual Abdelouhab |
| author_sort | Ennejjar Mohammed |
| collection | DOAJ |
| description | Occupancy detection plays a crucial role in building management, by improving living conditions and optimizing energy efficiency. So, our paper is a part of this perspective and is divided into two parts. Initially, we delve into the significance of detecting occupancy in buildings, emphasizing its positive impact on human well-being and productivity. Subsequently, the second section is dedicated on using the Naive Bayes Classifier (NBC) to predict occupancy in an office room using variables like temperature, humidity, humidity ratio, light, and CO2 level. This approach demonstrates an impressive accuracy of 97.7%, underscoring the efficacy and the effectivness of this probabilistic classifier in managing building occupancy. |
| format | Article |
| id | doaj-art-cd07cfb1b0e24c23a3047e20ec3319e3 |
| institution | Kabale University |
| issn | 2271-2097 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj-art-cd07cfb1b0e24c23a3047e20ec3319e32025-01-08T10:58:54ZengEDP SciencesITM Web of Conferences2271-20972024-01-01690100610.1051/itmconf/20246901006itmconf_maih2024_01006Naive Bayes for Smart Building Management: Predicting Workspace OccupancyEnnejjar Mohammed0Chabaa Samira1Ali Jallal Mohammed2Zeroual Abdelouhab3I2SP Research Team, Physics Department, Faculty of Sciences Semlalia, Cadi Ayyad UniversityI2SP Research Team, Physics Department, Faculty of Sciences Semlalia, Cadi Ayyad UniversityI2SP Research Team, Physics Department, Faculty of Sciences Semlalia, Cadi Ayyad UniversityI2SP Research Team, Physics Department, Faculty of Sciences Semlalia, Cadi Ayyad UniversityOccupancy detection plays a crucial role in building management, by improving living conditions and optimizing energy efficiency. So, our paper is a part of this perspective and is divided into two parts. Initially, we delve into the significance of detecting occupancy in buildings, emphasizing its positive impact on human well-being and productivity. Subsequently, the second section is dedicated on using the Naive Bayes Classifier (NBC) to predict occupancy in an office room using variables like temperature, humidity, humidity ratio, light, and CO2 level. This approach demonstrates an impressive accuracy of 97.7%, underscoring the efficacy and the effectivness of this probabilistic classifier in managing building occupancy.https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_01006.pdf |
| spellingShingle | Ennejjar Mohammed Chabaa Samira Ali Jallal Mohammed Zeroual Abdelouhab Naive Bayes for Smart Building Management: Predicting Workspace Occupancy ITM Web of Conferences |
| title | Naive Bayes for Smart Building Management: Predicting Workspace Occupancy |
| title_full | Naive Bayes for Smart Building Management: Predicting Workspace Occupancy |
| title_fullStr | Naive Bayes for Smart Building Management: Predicting Workspace Occupancy |
| title_full_unstemmed | Naive Bayes for Smart Building Management: Predicting Workspace Occupancy |
| title_short | Naive Bayes for Smart Building Management: Predicting Workspace Occupancy |
| title_sort | naive bayes for smart building management predicting workspace occupancy |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_01006.pdf |
| work_keys_str_mv | AT ennejjarmohammed naivebayesforsmartbuildingmanagementpredictingworkspaceoccupancy AT chabaasamira naivebayesforsmartbuildingmanagementpredictingworkspaceoccupancy AT alijallalmohammed naivebayesforsmartbuildingmanagementpredictingworkspaceoccupancy AT zeroualabdelouhab naivebayesforsmartbuildingmanagementpredictingworkspaceoccupancy |