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 …
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 …
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 …
Wavenilm: A causal neural network for power disaggregation from the complex power signal
Non-intrusive load monitoring (NILM) helps meet energy conservation goals by estimating
individual appliance power usage from a single aggregate measurement. Deep neural …
individual appliance power usage from a single aggregate measurement. Deep neural …
[HTML][HTML] Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction
Recently, a growing interest has been dedicated towards develo** and implementing low-
cost energy efficiency solutions in buildings. Accordingly, non-intrusive load monitoring has …
cost energy efficiency solutions in buildings. Accordingly, non-intrusive load monitoring has …
Sequence-to-sequence load disaggregation using multiscale residual neural network
With the increased demand on economy and efficiency of measurement technology,
nonintrusive load monitoring (NILM) has received more and more attention as a cost …
nonintrusive load monitoring (NILM) has received more and more attention as a cost …
Multi-channel recurrent convolutional neural networks for energy disaggregation
Power consumption signals of household appliances are characterized by randomly
occurring events (eg switch-on events), making timeseries modeling a demanding process …
occurring events (eg switch-on events), making timeseries modeling a demanding process …
Nonintrusive load monitoring using an LSTM with feedback structure
H Hwang, S Kang - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
Many non-intrusive load monitoring (NILM) studies use high-frequency data to classify the
device's ON/OFF state. However, these approaches cannot be applied in real-world …
device's ON/OFF state. However, these approaches cannot be applied in real-world …
Artificial bee colony optimization based non-intrusive appliances load monitoring technique in a smart home
Recent advances of energy management system in a smart home can lead to load
monitoring of electrical appliances for energy saving and reduction of electricity bill. Thus …
monitoring of electrical appliances for energy saving and reduction of electricity bill. Thus …
Improving residential load disaggregation for sustainable development of energy via principal component analysis
The useful planning and operation of the energy system requires a sustainability
assessment of the system, in which the load model adopted is the most important factor in …
assessment of the system, in which the load model adopted is the most important factor in …