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 …
A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction
Demand-side management, a new development in smart grid technology, has enabled
communication between energy suppliers and consumers. Demand side energy …
communication between energy suppliers and consumers. Demand side energy …
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 …
Non-intrusive load monitoring of household devices using a hybrid deep learning model through convex hull-based data selection
The availability of smart meters and IoT technology has opened new opportunities, ranging
from monitoring electrical energy to extracting various types of information related to …
from monitoring electrical energy to extracting various types of information related to …
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 …
A smart home energy management system using two-stage non-intrusive appliance load monitoring over fog-cloud analytics based on Tridium's Niagara framework …
YY Chen, MH Chen, CM Chang, FS Chang, YH Lin - Sensors, 2021 - mdpi.com
Electricity is a vital resource for various human activities, supporting customers' lifestyles in
today's modern technologically driven society. Effective demand-side management (DSM) …
today's modern technologically driven society. Effective demand-side management (DSM) …
Rule-based non-intrusive load monitoring using steady-state current waveform features
Monitoring electricity energy usage can help to reduce power consumption considerably.
Among load monitoring techniques, non-intrusive load monitoring (NILM) provides a cost …
Among load monitoring techniques, non-intrusive load monitoring (NILM) provides a cost …
A blind event-based learning algorithm for non-intrusive load disaggregation
Non-intrusive loading monitoring (NILM) provides a smart solution to the problem of
electrical energy monitoring of households at the appliance level. In blind disaggregation …
electrical energy monitoring of households at the appliance level. In blind disaggregation …
A cyber-physical approach for residential energy management: Current state and future directions
In this work, we an envision Home Energy Management System (HEMS) as a Cyber-
Physical System (CPS) architecture including three stages: Data Acquisition …
Physical System (CPS) architecture including three stages: Data Acquisition …
Non-intrusive identification of load patterns in smart homes using percentage total harmonic distortion
HP Devarapalli, VSSSS Dhanikonda, SB Gunturi - Energies, 2020 - mdpi.com
Demand Response (DR) plays a vital role in a smart grid, helping consumers plan their
usage patterns and optimize electricity consumption and also reduce harmonic pollution in a …
usage patterns and optimize electricity consumption and also reduce harmonic pollution in a …