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 …

An overview of non-intrusive load monitoring: Approaches, business applications, and challenges

M Zhuang, M Shahidehpour, Z Li - … international conference on …, 2018 - ieeexplore.ieee.org
Load Monitoring (LM) is a fundamental step to implement effective energy management
schemes. LM includes Intrusive LM (ILM) and Non-Intrusive LM (NILM). Compared with …

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 …

Toward non-intrusive load monitoring via multi-label classification

SM Tabatabaei, S Dick, W Xu - IEEE Transactions on Smart …, 2016 - ieeexplore.ieee.org
Demand-side management technology is a key element of the proposed smart grid, which
will help utilities make more efficient use of their generation assets by reducing consumers' …

On a training-less solution for non-intrusive appliance load monitoring using graph signal processing

B Zhao, L Stankovic, V Stankovic - IEEE Access, 2016 - ieeexplore.ieee.org
With ongoing large-scale smart energy metering deployments worldwide, disaggregation of
a household's total energy consumption down to individual appliances using analytical …

Incorporating appliance usage patterns for non-intrusive load monitoring and load forecasting

S Welikala, C Dinesh, MPB Ekanayake… - … on Smart Grid, 2017 - ieeexplore.ieee.org
This paper proposes a novel non-intrusive load monitoring (NILM) method which
incorporates appliance usage patterns (AUPs) to improve performance of active load …

A survey on non-intrusive load monitoring methodies and techniques for energy disaggregation problem

A Faustine, NH Mvungi, S Kaijage… - arXiv preprint arXiv …, 2017 - arxiv.org
The rapid urbanization of developing countries coupled with explosion in construction of
high rising buildings and the high power usage in them calls for conservation and efficient …

Low-complexity non-intrusive load monitoring using unsupervised learning and generalized appliance models

Q Liu, KM Kamoto, X Liu, M Sun… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Awareness of electric energy usage has both societal and economic benefits, which include
reduced energy bills and stress on non-renewable energy sources. In recent years, there …

Non-intrusive load disaggregation solutions for very low-rate smart meter data

B Zhao, M Ye, L Stankovic, V Stankovic - Applied energy, 2020 - Elsevier
With the active large-scale roll-out of smart metering worldwide, details about the type of
smart meter data that will be available for analysis are emerging. Consequently, focus has …

New design of a supervised energy disaggregation model based on the deep neural network for a smart grid

İH Çavdar, V Faryad - Energies, 2019 - mdpi.com
Energy management technology of demand-side is a key process of the smart grid that
helps achieve a more efficient use of generation assets by reducing the energy demand of …