The COVID-19 impact on air condition usage: a shift towards residential energy saving
The enforcement of the Movement Control Order to curtail the spread of COVID-19 has
affected home energy consumption, especially HVAC systems. Occupancy detection and …
affected home energy consumption, especially HVAC systems. Occupancy detection and …
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 …
Real-time monitoring of occupancy activities and window opening within buildings using an integrated deep learning-based approach for reducing energy demand
Occupancy behaviour in buildings can impact the energy performance and operation of
heating, ventilation and air-conditioning (HVAC) systems. HVAC, which uses conventional …
heating, ventilation and air-conditioning (HVAC) systems. HVAC, which uses conventional …
[HTML][HTML] Occupancy estimation with environmental sensors: the possibilities and limitations
Occupancy detection and estimation in buildings paves the way to improve the utilization of
lighting and HVAC systems, induce energy savings and enhance the well-being of the …
lighting and HVAC systems, induce energy savings and enhance the well-being of the …
A computer vision-based occupancy and equipment usage detection approach for reducing building energy demand
Because of extensive variations in occupancy patterns around office space environments
and their use of electrical equipment, accurate occupants' behaviour detection is valuable …
and their use of electrical equipment, accurate occupants' behaviour detection is valuable …
A systematic approach to occupancy modeling in ambient sensor-rich buildings
With ever-rising energy demand and diminishing sources of inexpensive energy resources,
energy conservation has become an increasingly important topic. Building heating …
energy conservation has become an increasingly important topic. Building heating …
Non-intrusive room occupancy prediction performance analysis using different machine learning techniques
Recent advancements in the Internet of Things and Machine Learning techniques have
allowed the deployment of sensors on a large scale to monitor the environment and model …
allowed the deployment of sensors on a large scale to monitor the environment and model …
Indoor occupancy detection based on environmental data using CNN-XGboost model: experimental validation in a residential building
Indoor occupancy prediction can play a vital role in the energy-efficient operation of building
engineering systems and maintaining satisfactory indoor climate conditions at the lowest …
engineering systems and maintaining satisfactory indoor climate conditions at the lowest …
A vision-based deep learning approach for the detection and prediction of occupancy heat emissions for demand-driven control solutions
This paper introduces a vision-based deep learning approach that enables the detection
and recognition of occupants' activities within building spaces. The data can feed into …
and recognition of occupants' activities within building spaces. The data can feed into …
Integrated sensor data processing for occupancy detection in residential buildings
Based on the data from US Energy Information Administration (EIA), the total annual energy
consumed by buildings in the United States has increased by 325% over the past 70 years …
consumed by buildings in the United States has increased by 325% over the past 70 years …