| Téléchargement | - Voir la version finale : Forecasting temperature in a smart home with segmented linear regression (PDF, 458 Kio)
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| DOI | Trouver le DOI : https://doi.org/10.1016/j.procs.2019.08.071 |
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| Auteur | Rechercher : Spencer, Bruce1; Rechercher : Alfandi, Omar; Rechercher : Al-Obeidat, Feras |
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| Affiliation | - Conseil national de recherches du Canada. Technologies numériques
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| Format | Texte, Article |
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| Conférence | The 9th International Conference on Sustainable Energy Information Technology (SEIT), August 19-21, 2019, Halifax, Nova Scotia, Canada |
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| Sujet | home sensor network; temperature forecasting; LASSO regression; feature selection; model predictive control; energy efficiency; internet of things |
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| Résumé | The efficiency of heating, ventilation and cooling operations in a home are improved when they are controlled by a system that takes into account an accurate forecast of temperature in the house. Temperature forecasts are informed by data from sensors that report on activities and conditions in and around the home. Using publicly available data, we apply linear models based on LASSO regression and our recently developled MIDFEL LASSO regression. These models take into account the past 24 hours of the sensors’ data. We have previously identified the most influential sensors in a forecast over the next 48 hours. In this paper, we compute 48 separate one-hour forecast and for each hour we identify the sensors that are most influential. This improves forecast accuracy and reveals which sensors are most valuable to install. |
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| Date de publication | 2019-09-13 |
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| Maison d’édition | Elsevier B.V. |
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| Licence | |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Identificateur | S1877050919309858 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | a75586a5-3883-4335-b1a9-64dfe606af09 |
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| Enregistrement créé | 2020-11-27 |
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| Enregistrement modifié | 2021-03-08 |
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