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 overview of non-intrusive load monitoring: Approaches, business applications, and challenges
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 …
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 …
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
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' …
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
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 …
Incorporating appliance usage patterns for non-intrusive load monitoring and load forecasting
This paper proposes a novel non-intrusive load monitoring (NILM) method which
incorporates appliance usage patterns (AUPs) to improve performance of active load …
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
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 …
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
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 …
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
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 …
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 …
helps achieve a more efficient use of generation assets by reducing the energy demand of …