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 …
A review of total harmonic distortion factors for the measurement of harmonic and interharmonic pollution in modern power systems
Harmonic distortion is one of the disturbances that most affects the quality of the electrical
system. The widespread use of power electronic systems, especially power converters, has …
system. The widespread use of power electronic systems, especially power converters, has …
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' …
An event-driven convolutional neural architecture for non-intrusive load monitoring of residential appliance
D Yang, X Gao, L Kong, Y Pang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Nowadays, the advancement of non-intrusive load monitoring (NILM) is hastened by the
everincreasing requirements for smart power utilization and demand side management …
everincreasing requirements for smart power utilization and demand side management …
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 …
[HTML][HTML] Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree
Providing the user with appliance-level consumption data is the core of each energy
efficiency system. To that end, non-intrusive load monitoring is employed for extracting …
efficiency system. To that end, non-intrusive load monitoring is employed for extracting …
Smart meter data-driven evaluation of operational demand response potential of residential air conditioning loads
Residential air conditioning loads (ACLs) are promising demand response (DR) resources
with a certain flexibility and controllability that can enhance the operational flexibility and …
with a certain flexibility and controllability that can enhance the operational flexibility and …
Decision-making for electricity retailers: A brief survey
With the continuous development of smart grid and further restructuring of power industry,
modern power systems have been transformed to complex cyber-physical systems …
modern power systems have been transformed to complex cyber-physical systems …
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 …
A hybrid signature-based iterative disaggregation algorithm for non-intrusive load monitoring
Abstract Information on residential power consumption patterns disaggregated at the single-
appliance level is an essential requirement for energy utilities and managers to design …
appliance level is an essential requirement for energy utilities and managers to design …