Occupancy-based energy consumption modelling using machine learning algorithms for institutional buildings
Occupancy information is one of the crucial variables in modelling and predicting the energy
use in buildings. However, the presence of occupants is often stochastic in nature. In the …
use in buildings. However, the presence of occupants is often stochastic in nature. In the …
Occupancy data at different spatial resolutions: Building energy performance and model calibration
Occupancy is a significant area of interest within the field of building performance simulation.
Through Bayesian calibration, the present study investigates the impact of the availability of …
Through Bayesian calibration, the present study investigates the impact of the availability of …
Sensing within smart buildings: A survey
Increasingly, buildings are being fitted with sensors for the needs of different sectors, such
as education, industry and business. Using Internet of Things devices combined with …
as education, industry and business. Using Internet of Things devices combined with …
A framework to identify key occupancy indicators for optimizing building operation using WiFi connection count data
Adapting building systems' operation to occupancy variations can provide significant energy
savings, but this is typically constrained by the unavailability of occupancy information …
savings, but this is typically constrained by the unavailability of occupancy information …
[HTML][HTML] Edge-based real-time occupancy detection system through a non-intrusive sensing system
Building automation and the advancement of sustainability and safety in internal spaces
benefit significantly from occupancy sensing. While particular traditional Machine Learning …
benefit significantly from occupancy sensing. While particular traditional Machine Learning …
[HTML][HTML] A state of art review on methodologies of occupancy estimating in buildings from 2011 to 2021
L Zhao, Y Li, R Liang, P Wang - Electronics, 2022 - mdpi.com
Occupancy information is important to building facility managers in terms of building energy
efficiency, indoor environmental quality, comfort conditions, and safety management of …
efficiency, indoor environmental quality, comfort conditions, and safety management of …
Using WiFi connection counts and camera-based occupancy counts to estimate and predict building occupancy
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 …
obtain this information, previous studies suggested using WiFi connection counts due to …
Typical weekly occupancy profiles in non-residential buildings based on mobile positioning data
Occupancy schedule is one of the essential inputs for building performance simulation.
Current designers and researchers refer to the occupancy schedules from energy standards …
Current designers and researchers refer to the occupancy schedules from energy standards …
Occupant-centric HVAC and window control: A reinforcement learning model for enhancing indoor thermal comfort and energy efficiency
X Liu, Z Gou - Building and Environment, 2024 - Elsevier
Occupant behavior plays a crucial role in enhancing indoor thermal comfort and achieving
energy efficiency by influencing the operational modes of Heating, Ventilation, and Air …
energy efficiency by influencing the operational modes of Heating, Ventilation, and Air …
Interpreting the neural network model for HVAC system energy data mining
To enhance the energy efficiency of heating, ventilation and air conditioning (HVAC)
systems, which is a non-linear and complicated system, machine learning has been used …
systems, which is a non-linear and complicated system, machine learning has been used …