Non-intrusive load monitoring: A review

PA Schirmer, I Mporas - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
The rapid development of technology in the electrical energy sector within the last 20 years
has led to growing electric power needs through the increased number of electrical …

Digital twin for fault detection and diagnosis of building operations: a systematic review

F Hodavand, IJ Ramaji, N Sadeghi - Buildings, 2023 - mdpi.com
Intelligence in Industry 4.0 has led to the development of smart buildings with various control
systems for data collection, efficient optimization, and fault detection and diagnosis (FDD) …

A home energy management system incorporating data-driven uncertainty-aware user preference

Y Liu, J Ma, X Xing, X Liu, W Wang - Applied Energy, 2022 - Elsevier
Today, with the increase in the integration of renewable sources, the home energy
management system (HEMS) has become a promising approach to improve grid energy …

[HTML][HTML] Large-scale monitoring of residential heat pump cycling using smart meter data

T Brudermueller, M Kreft, E Fleisch, T Staake - Applied Energy, 2023 - Elsevier
Heat pumps play an essential role in decarbonizing the building sector, but their electricity
consumption can vary significantly across buildings. This variability is closely related to their …

User-centric BIM-based framework for HVAC root-cause detection

H Alavi, N Forcada - Energies, 2022 - mdpi.com
In the building operation phase, the Heating, Ventilation, and Air-Conditioning (HVAC)
equipment are the main contributors to excessive energy consumption unless proper design …

Real-time energy performance benchmarking of electric vehicle air conditioning systems using adaptive neural network and Gaussian process regression

F Guo, Z Chen, F Xiao, A Li, J Shi - Applied Thermal Engineering, 2023 - Elsevier
One major concern of the electric vehicle is the limited driving range per charge. Among its
auxiliary systems, the heating, ventilation, and air conditioning (HVAC) system consumes …

Machine Fault Diagnosis through Vibration Analysis: Continuous Wavelet Transform with Complex Morlet Wavelet and Time–Frequency RGB Image Recognition via …

D Łuczak - Electronics, 2024 - mdpi.com
In pursuit of advancing fault diagnosis in electromechanical systems, this research focusses
on vibration analysis through innovative techniques. The study unfolds in a structured …

Model-Free HVAC Control in Buildings: A Review

P Michailidis, I Michailidis, D Vamvakas… - Energies, 2023 - mdpi.com
The efficient control of HVAC devices in building structures is mandatory for achieving
energy savings and comfort. To balance these objectives efficiently, it is essential to …

[HTML][HTML] State-of-the-art review and synthesis: A requirement-based roadmap for standardized predictive maintenance automation using digital twin technologies

S Ma, KA Flanigan, M Bergés - Advanced Engineering Informatics, 2024 - Elsevier
Recent digital advances have popularized predictive maintenance (PMx), offering enhanced
efficiency, automation, accuracy, cost savings, and independence in maintenance …

Cloud Based Fault Diagnosis by Convolutional Neural Network as Time–Frequency RGB Image Recognition of Industrial Machine Vibration with Internet of Things …

D Łuczak, S Brock, K Siembab - Sensors, 2023 - mdpi.com
The human-centric and resilient European industry called Industry 5.0 requires a long
lifetime of machines to reduce electronic waste. The appropriate way to handle this problem …