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ThinkMind // ALLSENSORS 2019, The Fourth International Conference on Advances in Sensors, Actuators, Metering and Sensing // View article allsensors_2019_4_10_70057


Prediction of Resident’s Outing Time for Energy Saving

Authors:
Sanhun Kim
Kiwoong Kwon
Jungmee Yun
Sanghak Lee

Keywords: Occupancy Sensor; Occupancy Probability; Energy Saving; HVAC

Abstract:
By analyzing the occupancy pattern of the user, it is possible to find out the time when they are expected to go out. Based on this, if Heating, Ventilation, and Air Conditioning (HVAC) can be controlled in advance, energy consumption can be reduced. The buildings are basically equipped with insulation technology, so they can maintain indoor comfort for a certain period of time even after ceasing HVAC system. Therefore, by predicting the time when the user goes out and performing the pre-control of the HVAC, the energy-saving effect can be obtained. In this paper, we propose a technique to detect periodic and repetitive outing of the resident by analyzing user’s occupancy pattern. By pre-control of the HVAC with occupancy, the energy consumption can be reduced without harming the comfort of the user.

Pages: 37 to 38

Copyright: Copyright (c) IARIA, 2019

Publication date: February 24, 2019

Published in: conference

ISSN: 2519-836X

ISBN: 978-1-61208-691-0

Location: Athens, Greece

Dates: from February 24, 2019 to February 28, 2019

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