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Smart Meeting Room Usage Information and Prediction by Modelling Occupancy Profiles

1
Tecnalia Research & Innovation, Mikeletegi 2, 20009 Donostia, Spain
2
Faculty of Informatics, University of the Basque Country, UPV/EHU, 20018 Donostia, Spain
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Saralegui, U.; Anton, M.A.; Arbelaitz, O.; Muguerza, J. An IoT sensor network to model occupancy profiles for energy usage simulation tools. In Proceedings of the 2018 Global Internet of Things Summit (GIoTS’18), Bilbao, Spain, 4–7 June 2018.
Sensors 2019, 19(2), 353; https://doi.org/10.3390/s19020353
Received: 14 December 2018 / Revised: 10 January 2019 / Accepted: 15 January 2019 / Published: 16 January 2019
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Abstract

The monitoring of small houses and rooms has become possible due to the advances in IoT sensors, actuators and low power communication protocols in the last few years. As buildings are one of the biggest energy consuming entities, monitoring them has great interest for trying to avoid non-necessary energy waste. Moreover, human behaviour has been reported as being the main discrepancy source between energy usage simulations and real usage, so the ability to monitor and predict actions as opening windows, using rooms, etc. is gaining attention to develop stronger models which may lead to reduce the overall energy consumption of buildings, considering buildings thermal inertia and additional capabilities. In this paper, a case study is described in which four meeting rooms have been monitored to obtain information about the usage of the rooms and later use it to predict their future usage. The results show the possibility to deploy a simple and non-intrusive sensing system whose output could be used to develop advanced control strategies. View Full-Text
Keywords: buildings; ambient intelligence; occupancy detection; behaviour modelling; sensor networks; smart meeting room; Internet of Things (IoT) buildings; ambient intelligence; occupancy detection; behaviour modelling; sensor networks; smart meeting room; Internet of Things (IoT)
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Saralegui, U.; Antón, M.Á.; Arbelaitz, O.; Muguerza, J. Smart Meeting Room Usage Information and Prediction by Modelling Occupancy Profiles. Sensors 2019, 19, 353.

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