NILM applications: Literature review of learning approaches, recent developments and challenges

GF Angelis, C Timplalexis, S Krinidis, D Ioannidis… - Energy and …, 2022 - Elsevier
This paper presents a critical approach to the non-intrusive load monitoring (NILM) problem,
by thoroughly reviewing the experimental framework of both legacy and state-of-the-art …

Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions

Y Himeur, A Alsalemi, F Bensaali… - … Journal of Intelligent …, 2022 - Wiley Online Library
Smart nonintrusive load monitoring (NILM) represents a cost‐efficient technology for
observing power usage in buildings. It tackles several challenges in transitioning into a more …

[HTML][HTML] Energy disaggregation risk resilience through microaggregation and discrete Fourier transform

KS Adewole, V Torra - Information Sciences, 2024 - Elsevier
Progress in the field of Non-Intrusive Load Monitoring (NILM) has been attributed to the rise
in the application of artificial intelligence. Nevertheless, the ability of energy disaggregation …

Equipment-and Time-Constrained Data Acquisition Protocol for Non-Intrusive Appliance Load Monitoring

K Koasidis, V Marinakis, H Doukas, N Doumouras… - Energies, 2023 - mdpi.com
Energy behaviours will play a key role in decarbonising the building sector but require the
provision of tailored insights to assist occupants to reduce their energy use. Energy …

Trainingless energy disaggregation without plug-level sensing

A Majumdar - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
The majority of studies in non-intrusive load monitoring (NILM) are intrusive and supervised
in nature since they require appliance-wise energy consumption data for training. A “true” …

Non-intrusive load monitoring (nilm), interests and applications

LW TOKAM, SS Ouro-djobo - Journal of the Nigerian Society of …, 2023 - journal.nsps.org.ng
In developing effective energy management mechanisms, new concepts have been
developed to provide new approaches. Non-intrusive load monitoring (NILM) is an approach …

Comparative study on load monitoring approaches

LW Tokam, SS Ouro-Djobo - Applied Sciences, 2023 - mdpi.com
Without an appropriate monitoring system, the condition/state of electrical
appliances/devices in operation in households cannot be fully assessed, resulting in …

Predictive model for real-time energy disaggregation using long short-term memory

B Li, T Wu, S Bian, JW Sutherland - CIRP Annals, 2023 - Elsevier
To provide affordable energy-saving solutions for the small and medium-sized
manufacturers (SMMs), we propose a unified framework for generating predictive models …

Smart home energy management using non-intrusive load monitoring: a deep learning perspective

LN Sastry, SPK Karri - Sustainable Energy Solutions with Artificial …, 2023 - taylorfrancis.com
The accelerated infusion of various electrical and electronic appliances with high power
demand has increased the need for monitoring and control of appliance-specific …

Rule-based self-supervised learning non-intrusive load monitoring system for residential houses

N Madhushan, R Rathnayake… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
Real-time non-intrusive load monitoring (NILM) systems have gained significant importance
in various applications, including demand-side management, appliance anomaly detection …