Electric energy disaggregation via non-intrusive load monitoring: A state-of-the-art systematic review
S Dash, NC Sahoo - Electric Power Systems Research, 2022 - Elsevier
Appliance energy consumption tracking in a building is one of the vital enablers of energy
and cost saving. An economical and viable solution would be to estimate individual …
and cost saving. An economical and viable solution would be to estimate individual …
Comprehensive feature selection for appliance classification in NILM
N Sadeghianpourhamami, J Ruyssinck… - Energy and …, 2017 - Elsevier
Since the inception of non-intrusive appliance load monitoring (NILM), extensive research
has focused on identifying an effective set of features that allows to form a unique appliance …
has focused on identifying an effective set of features that allows to form a unique appliance …
Deep sparse coding for non–intrusive load monitoring
S Singh, A Majumdar - IEEE Transactions on Smart Grid, 2017 - ieeexplore.ieee.org
Energy disaggregation is the task of segregating the aggregate energy of the entire building
(as logged by the smart-meter) into the energy consumed by individual appliances. This is a …
(as logged by the smart-meter) into the energy consumed by individual appliances. This is a …
STFT cluster analysis for DC pulsed load monitoring and fault detection on naval shipboard power systems
Current trends in Naval shipboard power system architecture indicate that the electrification
of future warships is inevitable, and it will be equipped with loads that draw periodic pulsed …
of future warships is inevitable, and it will be equipped with loads that draw periodic pulsed …
Eddie: Em-based detection of deviations in program execution
This paper describes EM-Based Detection of Deviations in Program Execution (EDDIE), a
new method for detecting anomalies in program execution, such as malware and other code …
new method for detecting anomalies in program execution, such as malware and other code …
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 …
HVAC load disaggregation using low-resolution smart meter data
Traditional non-intrusive load monitoring (NILM) methods are effective for load
disaggregation using high resolution smart meter data collected by power quality meters …
disaggregation using high resolution smart meter data collected by power quality meters …
Load disaggregation using one-directional convolutional stacked long short-term memory recurrent neural network
Reliable information about the active loads in the energy system allows for effective and
optimized energy management. An important aspect of intelligent energy monitoring system …
optimized energy management. An important aspect of intelligent energy monitoring system …
A hybrid method of cascade-filtering and committee decision mechanism for non-intrusive load monitoring
V Andrean, XH Zhao, DF Teshome, TD Huang… - IEEE …, 2018 - ieeexplore.ieee.org
There are, in general, two methods of load monitoring which are intrusive load monitoring
and non-intrusive load monitoring (NILM). The NILM method has attracted considerable …
and non-intrusive load monitoring (NILM). The NILM method has attracted considerable …
Analysis co-sparse coding for energy disaggregation
S Singh, A Majumdar - IEEE Transactions on Smart Grid, 2017 - ieeexplore.ieee.org
Energy disaggregation is the task of segregating the aggregate energy of the entire building
(as logged by the smartmeter) into the energy consumed by individual appliances. This is a …
(as logged by the smartmeter) into the energy consumed by individual appliances. This is a …