Performance evaluation of forecasting strategies for building occupancy prediction
Occupant behavior has been identified as a key factor affecting energy usage in buildings. Integrating occupancy data into HVAC control strategies presents an opportunity for substantial energy savings. The proposed study evaluates different occupancy prediction strategies with a focus on forecastin...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_01013.pdf |
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| _version_ | 1841554727210319872 |
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| author | Maniar Amine Delahoche Laurent Chrifi-Alaoui Larbi Zegrari Mourad Mohamed Hamlich Marhic Bruno Masson Jean-Baptiste |
| author_facet | Maniar Amine Delahoche Laurent Chrifi-Alaoui Larbi Zegrari Mourad Mohamed Hamlich Marhic Bruno Masson Jean-Baptiste |
| author_sort | Maniar Amine |
| collection | DOAJ |
| description | Occupant behavior has been identified as a key factor affecting energy usage in buildings. Integrating occupancy data into HVAC control strategies presents an opportunity for substantial energy savings. The proposed study evaluates different occupancy prediction strategies with a focus on forecasting performance on highly variable signals such as CO2 concentration and noise levels. Our work compares single-step and multiple-steps prediction methods to analyze their impact on accuracy and reliability. The predicted signals can be used to identify future activity to improve occupancy forecasting. In this paper, we highlight the importance of accurate occupancy data and fitting forecasting strategy and propose future research directions to address current limitations in occupancy prediction models. |
| format | Article |
| id | doaj-art-b0c9a5c631ca4b7eabb806500e9e1010 |
| 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-b0c9a5c631ca4b7eabb806500e9e10102025-01-08T10:58:54ZengEDP SciencesITM Web of Conferences2271-20972024-01-01690101310.1051/itmconf/20246901013itmconf_maih2024_01013Performance evaluation of forecasting strategies for building occupancy predictionManiar Amine0Delahoche Laurent1Chrifi-Alaoui Larbi2Zegrari Mourad3Mohamed Hamlich4Marhic Bruno5Masson Jean-Baptiste6Laboratory of Innovative Technologies, University of Picardie Jules VerneLaboratory of Innovative Technologies, University of Picardie Jules VerneLaboratory of Innovative Technologies, University of Picardie Jules VerneLaboratory of Complex Cyber Physical Systems, Hassan II University of CasablancaLaboratory of Complex Cyber Physical Systems, Hassan II University of CasablancaLaboratory of Innovative Technologies, University of Picardie Jules VerneLaboratory of Innovative Technologies, University of Picardie Jules VerneOccupant behavior has been identified as a key factor affecting energy usage in buildings. Integrating occupancy data into HVAC control strategies presents an opportunity for substantial energy savings. The proposed study evaluates different occupancy prediction strategies with a focus on forecasting performance on highly variable signals such as CO2 concentration and noise levels. Our work compares single-step and multiple-steps prediction methods to analyze their impact on accuracy and reliability. The predicted signals can be used to identify future activity to improve occupancy forecasting. In this paper, we highlight the importance of accurate occupancy data and fitting forecasting strategy and propose future research directions to address current limitations in occupancy prediction models.https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_01013.pdf |
| spellingShingle | Maniar Amine Delahoche Laurent Chrifi-Alaoui Larbi Zegrari Mourad Mohamed Hamlich Marhic Bruno Masson Jean-Baptiste Performance evaluation of forecasting strategies for building occupancy prediction ITM Web of Conferences |
| title | Performance evaluation of forecasting strategies for building occupancy prediction |
| title_full | Performance evaluation of forecasting strategies for building occupancy prediction |
| title_fullStr | Performance evaluation of forecasting strategies for building occupancy prediction |
| title_full_unstemmed | Performance evaluation of forecasting strategies for building occupancy prediction |
| title_short | Performance evaluation of forecasting strategies for building occupancy prediction |
| title_sort | performance evaluation of forecasting strategies for building occupancy prediction |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_01013.pdf |
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