One of the most important design decisions in Non-Intrusive Load Monitoring (NILM) systems is choosing which electrical parameters will be used to define load signatures. In this paper, we present an experimental study where several electrical quantities of common home appliances were measured, in order to identify the most adequate to perform load disaggregation. It was found that active power, reactive power, rms voltage, and the first five odd harmonics of the current and voltage signals comprises the best set of parameters to define the signatures of residential loads188690COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPESnão temThe authors would like to acknowledge the financial support granted by the Brazilian agency ...
Non-intrusive load monitoring (NILM) is the task of disaggregating the total power consumption into ...
Goossen, Keith W.Investment in smart grid technology by the electric utilities is continually growin...
This dataset contains feature-based load signatures from electrical residential devices that were us...
In this paper we present a new methodology for the formulation of efficient load signatures towards ...
In order to enable demand response schemes for residential and industrial users, it is crucial to be...
Non-Intrusive Load Monitoring (NILM) is an important application to monitor household appliance acti...
Load monitoring systems make it possible to obtain information on the status of the various loads po...
Load monitoring is the practice of measuring electrical signals in a domestic environment in order t...
The measurement of the energy consumption of electrical appliances, where the meter is installed at ...
Non-intrusive appliance load monitoring (NIALM) is a fairly new method to estimate load profiles of ...
A complete real-time (RT) implementation of a NonIntrusive Load Monitoring (NILM) system based on un...
In the 21st Century, where technology is heavily dependent on the electricity to function and serve...
AbstractA detailed and on-line knowledge of the electrical load demand by the users is a critical is...
A nonintrusive load monitoring (NILM) method for residential appliances based on uncorrelated spectr...
Government of India has decided to install smart meters in fourteen states. Smart meters are require...
Non-intrusive load monitoring (NILM) is the task of disaggregating the total power consumption into ...
Goossen, Keith W.Investment in smart grid technology by the electric utilities is continually growin...
This dataset contains feature-based load signatures from electrical residential devices that were us...
In this paper we present a new methodology for the formulation of efficient load signatures towards ...
In order to enable demand response schemes for residential and industrial users, it is crucial to be...
Non-Intrusive Load Monitoring (NILM) is an important application to monitor household appliance acti...
Load monitoring systems make it possible to obtain information on the status of the various loads po...
Load monitoring is the practice of measuring electrical signals in a domestic environment in order t...
The measurement of the energy consumption of electrical appliances, where the meter is installed at ...
Non-intrusive appliance load monitoring (NIALM) is a fairly new method to estimate load profiles of ...
A complete real-time (RT) implementation of a NonIntrusive Load Monitoring (NILM) system based on un...
In the 21st Century, where technology is heavily dependent on the electricity to function and serve...
AbstractA detailed and on-line knowledge of the electrical load demand by the users is a critical is...
A nonintrusive load monitoring (NILM) method for residential appliances based on uncorrelated spectr...
Government of India has decided to install smart meters in fourteen states. Smart meters are require...
Non-intrusive load monitoring (NILM) is the task of disaggregating the total power consumption into ...
Goossen, Keith W.Investment in smart grid technology by the electric utilities is continually growin...
This dataset contains feature-based load signatures from electrical residential devices that were us...