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 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 …

Characterizing energy flexibility of buildings with electric vehicles and shiftable appliances on single building level and aggregated level

E Azizi, R Ahmadiahangar, A Rosin… - Sustainable Cities and …, 2022 - Elsevier
Residential energy flexibility is considered one of the efficient concepts to alleviate the ever-
increasing concerns of better balancing supply and demand. A positive assumption that all …

Residential energy flexibility characterization using non-intrusive load monitoring

E Azizi, R Ahmadiahangar, A Rosin, J Martins… - Sustainable Cities and …, 2021 - Elsevier
To accelerate progress in building sustainability as well as to aid balance supply and
demand in the presence of renewable energy generation, a tailored characterization method …

[HTML][HTML] Non-intrusive load monitoring of residential loads via laplacian eigenmaps and hybrid deep learning procedures

A Moradzadeh, S Zakeri, WA Oraibi… - Sustainability, 2022 - mdpi.com
Today, introducing useful and practical solutions to residential load disaggregation as
subsets of energy management has created numerous challenges. In this study, an …

Quantification of disaggregation difficulty with respect to the number of smart meters

E Azizi, MTH Beheshti, S Bolouki - IEEE Transactions on Smart …, 2021 - ieeexplore.ieee.org
A promising approach toward efficient energy management is non-intrusive load monitoring
(NILM), that is to extract the consumption of appliances by analyzing the aggregated …

[HTML][HTML] Appliance-level anomaly detection by using control charts and artificial neural networks with power profiles

H Apaydin-Özkan - Sensors, 2022 - mdpi.com
Nowadays, the development of the Internet of Things (IoT) concept has increased the
interest in some technologies, one of which is the detection of anomalies in home …

[HTML][HTML] Power profile and thresholding assisted multi-label NILM classification

MAA Rehmani, S Aslam, SR Tito, S Soltic, P Nieuwoudt… - Energies, 2021 - mdpi.com
Next-generation power systems aim at optimizing the energy consumption of household
appliances by utilising computationally intelligent techniques, referred to as load monitoring …

Active power-based event detection algorithm for real-time load monitoring systems

N Madhushan, R Rathnayake… - 2022 IEEE 10th Power …, 2022 - ieeexplore.ieee.org
Non-intrusive load monitoring (NILM) has recently become a promising and trending topic in
energy management. Although several NILM-based solutions were proposed, a commercial …

Novel algorithms for filtering and event detection in non-intrusive load monitoring

S Ronaghi, A Ferrero, S Salicone… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
The rise of the Internet of Things (IoT) and Industry 4.0 has brought about a connected
ecosystem where instruments and devices are interlinked. Within this framework, an array of …