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 …
[HTML][HTML] 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 …
A review of current methods and challenges of advanced deep learning-based non-intrusive load monitoring (NILM) in residential context
The rising demand for energy conservation in residential buildings has increased interest in
load monitoring techniques by exploiting energy consumption data. In recent years …
load monitoring techniques by exploiting energy consumption data. In recent years …
DeepEdge-NILM: A case study of non-intrusive load monitoring edge device in commercial building
R Gopinath, M Kumar - Energy and Buildings, 2023 - Elsevier
Non-intrusive load monitoring (NILM) has become an emerging technology in the energy
sector for its effectiveness in the energy disaggregation of individual loads from the …
sector for its effectiveness in the energy disaggregation of individual loads from the …
Multi-time-scale shapelet-based feature extraction for non-intrusive load monitoring
The performance of non-intrusive load monitoring (NILM) system is closely related to the
uniqueness and comprehensiveness of the load features extracted from the equipment …
uniqueness and comprehensiveness of the load features extracted from the equipment …
[HTML][HTML] A Time-Driven Deep Learning NILM Framework Based on Novel Current Harmonic Distortion Images
Non-intrusive load monitoring (NILM) has been on the rise for more than three decades. Its
main objective is non-intrusive load disaggregation into individual operating appliances …
main objective is non-intrusive load disaggregation into individual operating appliances …
Device and time invariant features for transferable non-intrusive load monitoring
PA Schirmer, I Mporas - IEEE Open Access Journal of Power …, 2022 - ieeexplore.ieee.org
Non-Intrusive Load Monitoring aims to extract the energy consumption of individual
electrical appliances through disaggregation of the total power consumption as measured …
electrical appliances through disaggregation of the total power consumption as measured …
ApplianceFilter: Targeted electrical appliance disaggregation with prior knowledge fusion
D Ding, J Li, H Wang, K Wang, J Feng, M Xiao - Applied Energy, 2024 - Elsevier
In smart home services, non-intrusive load monitoring (NILM) can reveal individual
appliances' power consumption from the aggregate power and requires only one …
appliances' power consumption from the aggregate power and requires only one …
An Efficient Mixed-Integer Programming Model for Nonintrusive Load Monitoring With Distributionally Robust Feature Extraction
W Li, X He, L Yang, H Liu - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
For the nonintrusive load monitoring problem, we propose a new efficient mixed-integer
linear programming model. Compared to other optimization-based models that are only …
linear programming model. Compared to other optimization-based models that are only …
Data-Driven Misconfiguration Detection in Power Systems With Transformer Profile Disaggregation
D Fellner, TI Strasser, W Kastner - IEEE Access, 2023 - ieeexplore.ieee.org
Rapid and necessary changes in the energy sector are leading to the rise of new,
decentralized devices for generation and consumption in the electrical distribution grid …
decentralized devices for generation and consumption in the electrical distribution grid …