Energy management using non-intrusive load monitoring techniques–State-of-the-art and future research directions

R Gopinath, M Kumar, CPC Joshua… - Sustainable Cities and …, 2020 - Elsevier
In recent years, the development of smart sustainable cities has become the primary focus
among urban planners and policy makers to make responsible use of resources, conserve …

[HTML][HTML] A dataset for non-intrusive load monitoring: Design and implementation

DPB Renaux, F Pottker, HC Ancelmo, AE Lazzaretti… - Energies, 2020 - mdpi.com
A NILM dataset is a valuable tool in the development of Non-Intrusive Load Monitoring
techniques, as it provides a means of evaluation of novel techniques and algorithms, as well …

[HTML][HTML] Handling data heterogeneity in electricity load disaggregation via optimized complete ensemble empirical mode decomposition and wavelet packet transform

KT Chui, BB Gupta, RW Liu, P Vasant - Sensors, 2021 - mdpi.com
Global warming is a leading world issue driving the common social objective of reducing
carbon emissions. People have witnessed the melting of ice and abrupt changes in climate …

Feature Extraction of V–I Trajectory Using 2-D Fourier Series for Electrical Load Classification

BM Mulinari, L da Silva Nolasco, E Oroski… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Nonintrusive load monitoring (NILM) techniques allow the individual consumption of devices
in an installation to be reported to the user, collaborating in the awareness and managing …

[HTML][HTML] A multi-agent NILM architecture for event detection and load classification

AE Lazzaretti, DPB Renaux, CRE Lima, BM Mulinari… - Energies, 2020 - mdpi.com
A multi-agent architecture for a Non-Intrusive Load Monitoring (NILM) solution is presented
and evaluated. The underlying rationale for such an architecture is that each agent (load …

[HTML][HTML] Background load denoising across complex load based on generative adversarial network to enhance load identification

A Mukaroh, TTH Le, H Kim - Sensors, 2020 - mdpi.com
Non-Intrusive Load Monitoring (NILM) allows load identification of appliances through a
single sensor. By using NILM, users can monitor their electricity consumption, which is …

Inrush current measurement for transient space characterization and fault detection

EK Saathoff, DH Green, RA Agustin… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Training the load identification algorithm for a power-system monitor (PSM) begins with
characterization or observation of the loads. This article demonstrates a phase-controlled …

An implementation framework overview of non-intrusive load monitoring

O Al-Khadher, A Mukhtaruddin… - Journal of Sustainable …, 2023 - hrcak.srce.hr
Sažetak The implementation of non-intrusive load monitoring has gained significant
attention as a promising solution for disaggregating and identifying individual appliances' …

[HTML][HTML] A versatile, low-cost monitoring device suitable for non-intrusive load monitoring research purposes

S Kotsilitis, EC Marcoulaki, E Kalligeros - Measurement: Sensors, 2024 - Elsevier
Energy systems monitoring is a key factor in reducing global energy consumption. Although
intrusive approaches can be adopted, Non-Intrusive Load Monitoring (NILM), which targets …

Design of a smart socket functioned with electrical appliance identification

C Yu, P Chen, X Liu, L Zhao, M Han… - 2019 22nd International …, 2019 - ieeexplore.ieee.org
In order to solve a series of problems of the existing smart socket using intrusive load
monitoring method, such as high cost and complicated manufacturing process, this paper …