NILM applications: Literature review of learning approaches, recent developments and challenges
This paper presents a critical approach to the non-intrusive load monitoring (NILM) problem,
by thoroughly reviewing the experimental framework of both legacy and state-of-the-art …
by thoroughly reviewing the experimental framework of both legacy and state-of-the-art …
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 …
Transfer learning for non-intrusive load monitoring
M D'Incecco, S Squartini… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Non-intrusive load monitoring (NILM) is a technique to recover source appliances from only
the recorded mains in a household. NILM is unidentifiable and thus a challenge problem …
the recorded mains in a household. NILM is unidentifiable and thus a challenge problem …
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 …
Towards reproducible state-of-the-art energy disaggregation
N Batra, R Kukunuri, A Pandey, R Malakar… - Proceedings of the 6th …, 2019 - dl.acm.org
Non-intrusive load monitoring (NILM) or energy disaggregation is the task of separating the
household energy measured at the aggregate level into constituent appliances. In 2014, the …
household energy measured at the aggregate level into constituent appliances. In 2014, the …
Unsupervised domain adaptation for nonintrusive load monitoring via adversarial and joint adaptation network
Nonintrusive load monitoring (NILM) is a technique to disaggregate an appliance's load
consumption from the aggregate load in a house. Monitoring the energy behavior has …
consumption from the aggregate load in a house. Monitoring the energy behavior has …
Deep domain adaptation for non-intrusive load monitoring based on a knowledge transfer learning network
Understanding customers' energy consumption at the individual appliances level is crucial
for the planning and implementation of demand response (DR) programs. The appliances' …
for the planning and implementation of demand response (DR) programs. The appliances' …
A review of current methods and challenges of advanced deep learning-based non-intrusive load monitoring (NILM) in residential context
The rising demand for energy conservation in residential buildings has increased interest in
load monitoring techniques by exploiting energy consumption data. In recent years …
load monitoring techniques by exploiting energy consumption data. In recent years …
EnerGAN++: A generative adversarial gated recurrent network for robust energy disaggregation
Energy disaggregation, namely the separation of the aggregated household energy
consumption signal into its additive sub-components, bears resemblance to the signal …
consumption signal into its additive sub-components, bears resemblance to the signal …
A comprehensive review on the nilm algorithms for energy disaggregation
The housing structures have changed with urbanization and the growth due to the
construction of high-rise buildings all around the world requires end-use appliance energy …
construction of high-rise buildings all around the world requires end-use appliance energy …