Real-time occupancy estimation using WiFi network to optimize HVAC operation

KCJ Simma, A Mammoli, SM Bogus - Procedia Computer Science, 2019 - Elsevier
Commercial and residential buildings consume about 27% of total energy used in the US,
out of which nearly half is consumed by commercial building sector and it expected to grow …

A framework to identify key occupancy indicators for optimizing building operation using WiFi connection count data

N Alishahi, M Nik-Bakht, MM Ouf - Building and Environment, 2021 - Elsevier
Adapting building systems' operation to occupancy variations can provide significant energy
savings, but this is typically constrained by the unavailability of occupancy information …

Using WiFi connection counts and camera-based occupancy counts to estimate and predict building occupancy

N Alishahi, MM Ouf, M Nik-Bakht - Energy and Buildings, 2022 - Elsevier
Accurate occupancy information can help in optimizing the operation of building systems. To
obtain this information, previous studies suggested using WiFi connection counts due to …

Estimating indoor occupancy through low-cost BLE devices

F Demrozi, C Turetta, F Chiarani, PH Kindt… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Detecting the presence of persons and estimating their quantity in an indoor environment
has grown in importance recently. For example, the information if a room is unoccupied can …

Improving residential building energy simulations through occupancy data derived from commercial off-the-shelf Wi-Fi sensing technology

SS Abolhassani, A Zandifar, N Ghourchian… - Energy and …, 2022 - Elsevier
One of the main required actions for moving forward in zero-carbon cities' mission is to
increase building energy efficiency. Building energy simulations are key tools for HVAC …

Inferring occupant counts from Wi-Fi data in buildings through machine learning

Z Wang, T Hong, MA Piette, M Pritoni - Building and Environment, 2019 - Elsevier
An important approach to curtail building energy consumption is to optimize building control
based on occupancy information. Various studies proposed to estimate occupant counts …

[PDF][PDF] Effectiveness of using WiFi technologies to detect and predict building occupancy

MM Ouf, MH Issa, A Azzouz, AM Sadick - 2017 - dro.deakin.edu.au
This paper presents findings of a case-study demonstrating the effectiveness of using WiFi
networks to detect occupancy as opposed to CO2 sensors, commonly used for demand …

Non-intrusive multi-modal estimation of building occupancy

AK Das, PH Pathak, J Jee, CN Chuah… - Proceedings of the 15th …, 2017 - dl.acm.org
Estimation of building occupancy has emerged as an important research problem with
applications ranging from building energy efficiency, control and automation, safety …

Occupancy prediction through Markov based feedback recurrent neural network (M-FRNN) algorithm with WiFi probe technology

W Wang, J Chen, T Hong, N Zhu - Building and Environment, 2018 - Elsevier
Accurate occupancy prediction can improve facility control and energy efficiency of
buildings. In recent years, buildings' exiting WiFi infrastructures have been widely studied in …

Room occupancy estimation through WiFi, UWB, and light sensors mounted on doorways

H Mohammadmoradi, S Yin, O Gnawali - Proceedings of the 2017 …, 2017 - dl.acm.org
Recent studies have shown that adjusting HVAC systems based on the number of people
inside the room can save at least 38% of energy consumed for reheating. Besides, accurate …