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 …
Energy management using non-intrusive load monitoring techniques–State-of-the-art and future research directions
In recent years, the development of smart sustainable cities has become the primary focus
among urban planners and policy makers to make responsible use of resources, conserve …
among urban planners and policy makers to make responsible use of resources, conserve …
Sequence-to-point learning with neural networks for non-intrusive load monitoring
Energy disaggregation (aka nonintrusive load monitoring, NILM), a single-channel blind
source separation problem, aims to decompose the mains which records the whole house …
source separation problem, aims to decompose the mains which records the whole house …
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 …
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 …
A new convolutional neural network-based system for NILM applications
Electrical load planning and demand response programs are often based on the analysis of
individual load-level measurements obtained from houses or buildings. The identification of …
individual load-level measurements obtained from houses or buildings. The identification of …
NILMTK: An open source toolkit for non-intrusive load monitoring
Non-intrusive load monitoring, or energy disaggregation, aims to separate household
energy consumption data collected from a single point of measurement into appliance-level …
energy consumption data collected from a single point of measurement into appliance-level …
Non-intrusive load disaggregation using graph signal processing
With the large-scale roll-out of smart metering worldwide, there is a growing need to account
for the individual contribution of appliances to the load demand. In this paper, we design a …
for the individual contribution of appliances to the load demand. In this paper, we design a …
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' …
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 …