Non-intrusive load monitoring: A review
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 …
Review on deep neural networks applied to low-frequency nilm
This paper reviews non-intrusive load monitoring (NILM) approaches that employ deep
neural networks to disaggregate appliances from low frequency data, ie, data with sampling …
neural networks to disaggregate appliances from low frequency data, ie, data with sampling …
Towards trustworthy energy disaggregation: A review of challenges, methods, and perspectives for non-intrusive load monitoring
Non-intrusive load monitoring (NILM) is the task of disaggregating the total power
consumption into its individual sub-components. Over the years, signal processing and …
consumption into its individual sub-components. Over the years, signal processing and …
Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions
Smart nonintrusive load monitoring (NILM) represents a cost‐efficient technology for
observing power usage in buildings. It tackles several challenges in transitioning into a more …
observing power usage in buildings. It tackles several challenges in transitioning into a more …
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 …
Non-intrusive load monitoring by voltage–current trajectory enabled transfer learning
Y Liu, X Wang, W You - IEEE Transactions on Smart Grid, 2018 - ieeexplore.ieee.org
Non-intrusive load monitoring (NILM) is a technique for analyzing changes in the voltage
and current flowing through the main feeder and determining the appliances in operation as …
and current flowing through the main feeder and determining the appliances in operation as …
Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014
With the cost of consuming resources increasing (both economically and ecologically),
homeowners need to find ways to curb consumption. The Almanac of Minutely Power …
homeowners need to find ways to curb consumption. The Almanac of Minutely Power …
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 …
Context aware energy disaggregation using adaptive bidirectional LSTM models
Energy disaggregation, or Non-Intrusive Load Monitoring (NILM), describes various
processes aiming to identify the individual contribution of appliances, given the aggregate …
processes aiming to identify the individual contribution of appliances, given the aggregate …
Non-intrusive load monitoring by using active and reactive power in additive Factorial Hidden Markov Models
Non-intrusive load monitoring (NILM) is the task of determining the appliances individual
contributions to the aggregate power consumption by using a set of electrical parameters …
contributions to the aggregate power consumption by using a set of electrical parameters …