A review of data-driven fault detection and diagnostics for building HVAC systems

Z Chen, Z O'Neill, J Wen, O Pradhan, T Yang, X Lu… - Applied Energy, 2023‏ - Elsevier
With the wide adoption of building automation system, and the advancement of data,
sensing, and machine learning techniques, data-driven fault detection and diagnostics …

Integration of IoT in building energy infrastructure: A critical review on challenges and solutions

V Moudgil, K Hewage, SA Hussain, R Sadiq - Renewable and Sustainable …, 2023‏ - Elsevier
Abstract The Internet of Things (IoT) has unprecedentedly entangled the physical world with
cyber technologies and its integration with building infrastructure (BI) is no different …

Cyber resilience of power electronics-enabled power systems: A review

J Hou, C Hu, S Lei, Y Hou - Renewable and Sustainable Energy Reviews, 2024‏ - Elsevier
The demand for carbon neutrality leads to the transition from traditional synchronous
generator-based power systems to power electronics-enabled power systems. The …

A critical review of cyber-physical security for building automation systems

G Li, L Ren, Y Fu, Z Yang, V Adetola, J Wen… - Annual Reviews in …, 2023‏ - Elsevier
Abstract Modern Building Automation Systems (BASs), as the brain that enable the
smartness of a smart building, often require increased connectivity both among system …

[HTML][HTML] Digital twins in cyber effects modelling of IoT/CPS points of low resilience

G Epiphaniou, M Hammoudeh, H Yuan, C Maple… - … Modelling Practice and …, 2023‏ - Elsevier
The exponential increase of data volume and velocity have necessitated a tighter linkage of
physical and cyber components in modern Cyber–physical systems (CPS) to achieve faster …

Incentive edge-based federated learning for false data injection attack detection on power grid state estimation: A novel mechanism design approach

WT Lin, G Chen, Y Huang - Applied energy, 2022‏ - Elsevier
With the growing concern in security and privacy of smart grid, false data injection attack
detection on power grid state estimation now faces new challenges including unknown …

Cyber-attack against heating system in integrated energy systems: Model and propagation mechanism

S Ding, W Gu, S Lu, R Yu, L Sheng - Applied Energy, 2022‏ - Elsevier
The integrated energy system (IES) constitutes a new kind of cyber-physical system
combined with advanced information and communication technology. The coupling of the …

How good are learning-based control vs model-based control for load shifting? Investigations on a single zone building energy system

Y Fu, S Xu, Q Zhu, Z O'Neill, V Adetola - Energy, 2023‏ - Elsevier
Both model predictive control (MPC) and deep reinforcement learning control (DRL) have
been presented as a way to approximate the true optimality of a dynamic programming …

Intelligent robust control for nonlinear complex hydro-turbine regulation system based on a novel state space equation and dynamic feedback linearization

J Chen, Q Zeng, Y Zou, S Li, Y Zheng, D Liu, Z **ao - Energy, 2024‏ - Elsevier
To achieve optimal control under all operating conditions for hydropower units, an intelligent
robust controller (NSFLIRC) is proposed based on a novel state space equation and state …

AI for science: Covert cyberattacks on energy storage systems

AP Zhao, Q Zhang, M Alhazmi, PJH Hu, S Zhang… - Journal of Energy …, 2024‏ - Elsevier
This paper develops and evaluates a novel three-stage strategic cyberattack framework
designed for multi-energy systems incorporating hybrid energy storage, using an advanced …