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Sensor data validation and fault diagnosis using Auto-Associative Neural Network for HVAC systems
(
Elsevier Ltd
, 2020 , Article)
The Heating, Ventilation, and Air conditioning (HVAC) system is a major system in buildings for conditioning the indoor environment. Sensor data validation and fault diagnosis for HVAC systems are essentially important to ...
Application of data-driven attack detection framework for secure operation in smart buildings
(
Elsevier Ltd
, 2021 , Article)
With the rapid advancement in the industrial control technologies and the increased deployment of the industrial Internet of Things (IoT) in the buildings sector, this work presents an analysis of the security of the ...
A dual-isolation-forests-based attack detection framework for industrial control systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The cybersecurity of industrial control systems (ICSs) is becoming increasingly critical under the current advancement in the cyber activity and the Internet of Things (IoT) technologies, and their direct impact on several ...
Novel Actuator Fault Diagnosis Framework for Multizone HVAC Systems Using 2-D Convolutional Neural Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Heating, ventilation, and air conditioning (HVAC) systems are used to condition the indoor environment in buildings. They can be subjected to malfunctioning since they are the most extensively operated buildings' components ...
Neural network-based model predictive control system for optimizing building automation and management systems of sports facilities
(
Elsevier Ltd
, 2022 , Article)
Sports facilities are considered complex buildings due to their high energy demand and occupancy profiles. Therefore, their management and optimization are crucial for reducing their energy consumption and carbon footprint ...