Low-complexity non-intrusive load monitoring using unsupervised learning and generalized appliance models
Awareness of electric energy usage has both societal and economic benefits, which include
reduced energy bills and stress on non-renewable energy sources. In recent years, there …
reduced energy bills and stress on non-renewable energy sources. In recent years, there …
[HTML][HTML] 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 …
Lightweight non-intrusive load monitoring employing pruned sequence-to-point learning
J Barber, H Cuayáhuitl, M Zhong, W Luan - Proceedings of the 5th …, 2020 - dl.acm.org
Non-intrusive load monitoring (NILM) is the process in which a household's total power
consumption is used to determine the power consumption of household appliances …
consumption is used to determine the power consumption of household appliances …
A hybrid event detection approach for non-intrusive load monitoring
M Lu, Z Li - IEEE Transactions on Smart Grid, 2019 - ieeexplore.ieee.org
Non-intrusive load monitoring (NILM) is a practical method to provide appliance-level
electricity consumption information. Event detection, as an important part of event-based …
electricity consumption information. Event detection, as an important part of event-based …
Generalizability improvement of deep learning-based non-intrusive load monitoring system using data augmentation
Practical application of deep learning based non-intrusive load monitoring (NILM) system
requires the deep neural network model to generalize on new unseen data. Existing NILM …
requires the deep neural network model to generalize on new unseen data. Existing NILM …
Non-intrusive load monitoring: A review and outlook
C Klemenjak, P Goldsborough - arXiv preprint arXiv:1610.01191, 2016 - arxiv.org
With the roll-out of smart meters the importance of effective non-intrusive load monitoring
(NILM) techniques has risen rapidly. NILM estimates the power consumption of individual …
(NILM) techniques has risen rapidly. NILM estimates the power consumption of individual …
[PDF][PDF] An approach for unsupervised non-intrusive load monitoring of residential appliances
Non-Intrusive Load Monitoring (NILM) refers to the analysis of the aggregate power
consumption of electric loads in order to recognize the existence and the consumption …
consumption of electric loads in order to recognize the existence and the consumption …
[HTML][HTML] Concatenate convolutional neural networks for non-intrusive load monitoring across complex background
Q Wu, F Wang - Energies, 2019 - mdpi.com
Non-Intrusive Load Monitoring (NILM) provides a way to acquire detailed energy
consumption and appliance operation status through a single sensor, which has been …
consumption and appliance operation status through a single sensor, which has been …
A fully unsupervised non-intrusive load monitoring framework
Monitoring an individual electrical load's energy usage is of great significance in energy-
efficient buildings as it underlies the sophisticated load control and energy optimization …
efficient buildings as it underlies the sophisticated load control and energy optimization …
[HTML][HTML] Leveraging sequence-to-sequence learning for online non-intrusive load monitoring in edge device
Non-intrusive load monitoring (NILM), extracting the appliances' usage profiles by
decomposing a household's aggregate electricity consumption, has become increasingly …
decomposing a household's aggregate electricity consumption, has become increasingly …