NILM techniques for intelligent home energy management and ambient assisted living: A review
The ongoing deployment of smart meters and different commercial devices has made
electricity disaggregation feasible in buildings and households, based on a single measure …
electricity disaggregation feasible in buildings and households, based on a single measure …
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 …
A microgrid energy management system based on non-intrusive load monitoring via multitask learning
Non-intrusive load monitoring (NILM) enables to understand the appliance-level behavior of
the consumers by using only smart meter data, and it mitigates the requirements such as …
the consumers by using only smart meter data, and it mitigates the requirements such as …
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 …
Residential loads flexibility potential for demand response using energy consumption patterns and user segments
Demand response (DR) is considered an effective approach in mitigating the ever-growing
concerns for supplying the electricity peak demand. Recent attempts have shown that the …
concerns for supplying the electricity peak demand. Recent attempts have shown that the …
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 …
A practical solution for non-intrusive type II load monitoring based on deep learning and post-processing
This paper presents a practical and effective non-intrusive load monitoring (NILM) solution to
estimate the energy consumption for common multi-functional home appliances (type II …
estimate the energy consumption for common multi-functional home appliances (type II …
Bayesian-optimized bidirectional LSTM regression model for non-intrusive load monitoring
In this paper, a Bayesian-optimized bidirectional Long Short-Term Memory (LSTM) method
for energy disaggregation, is introduced. Energy disaggregation, or Non-Intrusive Load …
for energy disaggregation, is introduced. Energy disaggregation, or Non-Intrusive Load …
A scalable real-time non-intrusive load monitoring system for the estimation of household appliance power consumption
Smart-meter technology advancements have resulted in the generation of massive volumes
of information introducing new opportunities for energy services and data-driven business …
of information introducing new opportunities for energy services and data-driven business …
Intelligent home energy management using Internet of Things platform based on NILM technique
Due to the continuous increase in the global energy demand, it is essential to find solutions
to improve energy efficiency. Non-intrusive load monitoring (NILM) is one of the most …
to improve energy efficiency. Non-intrusive load monitoring (NILM) is one of the most …