M Amayri, A Arora, S Ploix, S Bandhyopadyay… - Energy and …, 2016 - Elsevier
A general approach is proposed to determine the common sensors that shall be used to estimate and classify the approximate number of people (within a range) in a room. The …
The building internet of things (BIoT) is quite a promising concept for curtailing energy consumption, reducing costs, and promoting building transformation. Besides, integrating …
Recently, several researchers have attempted to detect occupancy information and use it to reduce building energy. Although occupancy counting using a camera and deep learning is …
A Multi-Sensor Based Occupancy Estimation Model for Supporting Demand Driven HVAC Operations Page 1 49 [SpringSim pp.98] A Multi-Sensor Based Occupancy Estimation Model for …
With the proliferation of Internet of Things (IoT) devices such as smartphones, sensors, cameras, and RFIDs, it is possible to collect massive amount of data for localization and …
Building occupancy patterns facilitate successful development of the smart grid by enhancing building-to-grid integration efficiencies. Current occupancy detection is limited by …
M Jin, R Jia, CJ Spanos - IEEE Transactions on Mobile …, 2017 - ieeexplore.ieee.org
Occupancy detection for buildings is crucial to improving energy efficiency, user comfort, and space utility. However, existing methods require dedicated system setup, continuous …
VL Erickson, AE Cerpa - Proceedings of the 2nd ACM Workshop on …, 2010 - dl.acm.org
Heating, cooling and ventilation accounts for 30% energy usage and for 50% of the electricity usage in the United States. Currently, most modern buildings still condition rooms …
This paper aims to provide a systemic review of how indoor sensors influence in managing optimal energy saving, thermal comfort, visual comfort, and indoor air quality in the built …