[HTML][HTML] Data privacy preservation and security in smart metering systems

MS Abdalzaher, MM Fouda, MI Ibrahem - Energies, 2022 - mdpi.com
Smart meters (SMs) can play a key role in monitoring vital aspects of different applications
such as smart grids (SG), alternative currents (AC) optimal power flows, adversarial training …

[HTML][HTML] Digital twin-driven decision making and planning for energy consumption

Y Fathy, M Jaber, Z Nadeem - Journal of Sensor and Actuator Networks, 2021 - mdpi.com
The Internet of Things (IoT) is revolutionising how energy is delivered from energy producers
and used throughout residential households. Optimising the residential energy consumption …

A context-aware multi-event identification method for nonintrusive load monitoring

R Jiao, C Li, G Xun, T Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Non-intrusive load monitoring (NILM) is a method that provides appliance power
consumption information, which will help enhance the smart grid applications. This paper …

Energformer: A new transformer model for energy disaggregation

GF Angelis, C Timplalexis, AI Salamanis… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In recent years, a lot of progress has been reported in the field of energy disaggregation,
also referred to as Non-Intrusive Load Monitoring (NILM). Despite the fact that there are …

Comparative analysis of machine learning techniques for non-intrusive load monitoring

N Shabbir, K Vassiljeva, H Nourollahi Hokmabad… - Electronics, 2024 - mdpi.com
Non-intrusive load monitoring (NILM) has emerged as a pivotal technology in energy
management applications by enabling precise monitoring of individual appliance energy …

Appliance level energy characterization of residential electricity demand: prospects, challenges and recommendations

R Liaqat, IA Sajjad, M Waseem, HH Alhelou - Ieee Access, 2021 - ieeexplore.ieee.org
The advent of information and communication technologies has paved the way for smart
cities. Residential customers are the major consumers of electrical energy in such cities …

Adaptive non-intrusive load monitoring based on feature fusion

JS Kang, M Yu, L Lu, B Wang, Z Bao - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Intelligent power management system is an important part of the smart grid, in which the non-
intrusive load monitoring technology is one of the key technologies. However, most of the …

Appliance-level anomaly detection in nonintrusive load monitoring via power consumption-based feature analysis

E Azizi, MTH Beheshti, S Bolouki - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In the majority of current supervised nonintrusive load monitoring (NILM) techniques the
characteristics of the training and test datasets are assumed to be constant. However, in …

[HTML][HTML] Integrated post-occupancy evaluation and intervention that achieve real-world zero-carbon buildings

J Lizana, S Wheeler, E Azizi, C Halloran, J Wheeler… - Energy and …, 2024 - Elsevier
Many building standards are available worldwide to support sustainable building design.
However, most of them only define compliance before occupancy, overlooking the real …

[HTML][HTML] Characterization of household-consumption load profiles in the time and frequency domain

M Sanabria-Villamizar, M Bueno-López… - International Journal of …, 2022 - Elsevier
Smart meter (SM) deployment in the residential context provides a vast amount of data that
allows diagnose the behavior of household inhabitants. However, the conventional methods …