[HTML][HTML] Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives
Enormous amounts of data are being produced everyday by sub-meters and smart sensors
installed in residential buildings. If leveraged properly, that data could assist end-users …
installed in residential buildings. If leveraged properly, that data could assist end-users …
Big Data in the construction industry: A review of present status, opportunities, and future trends
The ability to process large amounts of data and to extract useful insights from data has
revolutionised society. This phenomenon—dubbed as Big Data—has applications for a wide …
revolutionised society. This phenomenon—dubbed as Big Data—has applications for a wide …
Building energy management systems: The age of intelligent and adaptive buildings
M Manic, D Wijayasekara… - IEEE Industrial …, 2016 - ieeexplore.ieee.org
Building automation systems (BAS), or building control systems (BCS), typically consist of
building energy management systems (BEMSs), physical security and access control …
building energy management systems (BEMSs), physical security and access control …
A review of unsupervised statistical learning and visual analytics techniques applied to performance analysis of non-residential buildings
Measured and simulated data sources from the built environment are increasing rapidly. It is
becoming normal to analyze data from hundreds, or even thousands of buildings at once …
becoming normal to analyze data from hundreds, or even thousands of buildings at once …
Automated daily pattern filtering of measured building performance data
The amount of sensor data generated by modern building systems is growing rapidly.
Automatically discovering the structure of diurnal patterns in this data supports …
Automatically discovering the structure of diurnal patterns in this data supports …
Assessing occupants' energy load variation through existing wireless network infrastructure in commercial and educational buildings
Providing energy-consumption feedback has proven to be an effective approach for
changing people's behavior and has led to significant energy-consumption reductions in …
changing people's behavior and has led to significant energy-consumption reductions in …
Adaptive GSA-based optimal tuning of PI controlled servo systems with reduced process parametric sensitivity, robust stability and controller robustness
This paper suggests a new generation of optimal PI controllers for a class of servo systems
characterized by saturation and dead zone static nonlinearities and second-order models …
characterized by saturation and dead zone static nonlinearities and second-order models …
Artificial neural networks based thermal energy storage control for buildings
K Amarasinghe, D Wijayasekara… - IECON 2015-41st …, 2015 - ieeexplore.ieee.org
Heating, Ventilation and Air Conditioning (HVAC) system is largest energy consumer in
buildings. Worldwide, buildings consume 20% of the total energy production. Therefore …
buildings. Worldwide, buildings consume 20% of the total energy production. Therefore …
Anomaly detection in iot-based pir occupancy sensors to improve building energy efficiency
E Samani, P Khaledian, A Aligholian… - 2020 IEEE Power & …, 2020 - ieeexplore.ieee.org
In this paper, we study the real-world data streams from hundreds of digital passive infrared
(PIR) occupancy sensors that are integrated into LED lighting fixtures in a recent Internet-of …
(PIR) occupancy sensors that are integrated into LED lighting fixtures in a recent Internet-of …
Agent-based control for building energy management in the smart grid framework
LA Hurtado, PH Nguyen… - IEEE PES Innovative Smart …, 2014 - ieeexplore.ieee.org
Within the smart cities concept, smart buildings and smart grids have emerged as crucial
solutions to increase energy efficiency, without jeopardizing the main objectives of such …
solutions to increase energy efficiency, without jeopardizing the main objectives of such …