Unknown appliances detection for non-intrusive load monitoring based on vision transformer with an additional detection head

Q Zhao, W Liu, K Li, Y Wei, Y Han - Heliyon, 2024 - cell.com
Non-intrusive load monitoring (NILM) offers precise insights into equipment-level energy
consumption by analyzing current and voltage data from residential smart meters, thus …

Unknown appliances detection for non-intrusive load monitoring based on conditional generative adversarial networks

Y Han, K Li, C Wang, F Si… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Non-intrusive load monitoring (NILM) provides fine-grained consumption information at the
appliance level by analyzing the terminal voltage and total current measured. It shows …

Reconstruction-based Supervised Contrastive Learning for Unknown Device Identification in Non-intrusive Load Monitoring

Y Han, H Chen, J Wu, Q Zhao - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Nonintrusive load monitoring (NILM) involves deploying monitoring devices at the
customer's bus entrance to decompose the total power captured into individual operational …

STNILM: Switch Transformer based Non-Intrusive Load Monitoring for short and long duration appliances

LNS Varanasi, SPK Karri - Sustainable Energy, Grids and Networks, 2024 - Elsevier
Abstract Non-Intrusive Load Monitoring (NILM) is a technique used by contemporary energy
management systems to predict and optimize appliance load distribution in real time. The …

Non-intrusive load monitoring based on the combination of gate-transformer and CNN

Z Zai, S Zhao, Z Zhang, H Li, N Sun - Electronics, 2023 - mdpi.com
Non-intrusive load monitoring (NILM) is the practice of estimating power consumption of a
single household appliance using data from a total power meter of the user's house. The …

Non-intrusive load identification using reconstructed voltage–current images

D Jia, Y Li, Z Du, J Xu, B Yin - IEEE Access, 2021 - ieeexplore.ieee.org
Non-intrusive load monitoring (NILM) is crucial because it helps monitor the operating status
of electrical appliances online; detailed power consumption data regarding the appliances …

An overview of non-intrusive load monitoring based on VI trajectory signature

J Lu, R Zhao, B Liu, Z Yu, J Zhang, Z Xu - Energies, 2023 - mdpi.com
Non-intrusive load monitoring (NILM) can obtain fine-grained electricity consumption
information of each appliance by analyzing the voltage and current data measured at a …

Non-intrusive load monitoring by load trajectory and multi-feature based on DCNN

H Yin, K Zhou, S Yang - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
This article proposes a non-intrusive load monitoring (NILM) framework based on a deep
convolutional neural network (DCNN) to profile each household appliance on/off status and …

Comprehensive NILM framework: Device type classification and device activity status monitoring using capsule network

D Saha, A Bhattacharjee, D Chowdhury… - IEEE …, 2020 - ieeexplore.ieee.org
Non-intrusive load monitoring (NILM) discerns the individual electrical appliances of a
residential or commercial building by disaggregating the accumulated energy consumption …

Comparative evaluation of non-intrusive load monitoring methods using relevant features and transfer learning

S Houidi, D Fourer, F Auger, HBA Sethom, L Miègeville - Energies, 2021 - mdpi.com
Non-Intrusive Load Monitoring (NILM) refers to the analysis of the aggregated current and
voltage measurements of Home Electrical Appliances (HEAs) recorded by the house …