NILM applications: Literature review of learning approaches, recent developments and challenges
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 …
by thoroughly reviewing the experimental framework of both legacy and state-of-the-art …
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 …
has led to growing electric power needs through the increased number of electrical …
An electrical load measurements dataset of United Kingdom households from a two-year longitudinal study
Smart meter roll-outs provide easy access to granular meter measurements, enabling
advanced energy services, ranging from demand response measures, tailored energy …
advanced energy services, ranging from demand response measures, tailored energy …
Towards trustworthy energy disaggregation: A review of challenges, methods, and perspectives for non-intrusive load monitoring
Non-intrusive load monitoring (NILM) is the task of disaggregating the total power
consumption into its individual sub-components. Over the years, signal processing and …
consumption into its individual sub-components. Over the years, signal processing and …
Non-intrusive load disaggregation using graph signal processing
K He, L Stankovic, J Liao… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
With the large-scale roll-out of smart metering worldwide, there is a growing need to account
for the individual contribution of appliances to the load demand. In this paper, we design a …
for the individual contribution of appliances to the load demand. In this paper, we design a …
[HTML][HTML] An active learning framework for the low-frequency Non-Intrusive Load Monitoring problem
T Todic, V Stankovic, L Stankovic - Applied Energy, 2023 - Elsevier
With the widespread deployment of smart meters worldwide, quantification of energy used
by individual appliances via Non-Intrusive Load Monitoring (NILM), ie, virtual submetering, is …
by individual appliances via Non-Intrusive Load Monitoring (NILM), ie, virtual submetering, is …
Context aware energy disaggregation using adaptive bidirectional LSTM models
Energy disaggregation, or Non-Intrusive Load Monitoring (NILM), describes various
processes aiming to identify the individual contribution of appliances, given the aggregate …
processes aiming to identify the individual contribution of appliances, given the aggregate …
On a training-less solution for non-intrusive appliance load monitoring using graph signal processing
With ongoing large-scale smart energy metering deployments worldwide, disaggregation of
a household's total energy consumption down to individual appliances using analytical …
a household's total energy consumption down to individual appliances using analytical …
Application of load monitoring in appliances' energy management–A review
Energy monitoring is one of the important aspects of the energy management, as such there
is a need to monitor the power consumption of a premises before planning some of the …
is a need to monitor the power consumption of a premises before planning some of the …
Bayesian-optimized bidirectional LSTM regression model for non-intrusive load monitoring
In this paper, a Bayesian-optimized bidirectional Long Short-Term Memory (LSTM) method
for energy disaggregation, is introduced. Energy disaggregation, or Non-Intrusive Load …
for energy disaggregation, is introduced. Energy disaggregation, or Non-Intrusive Load …