[HTML][HTML] Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree

Y Himeur, A Alsalemi, F Bensaali, A Amira - Applied Energy, 2020 - Elsevier
Providing the user with appliance-level consumption data is the core of each energy
efficiency system. To that end, non-intrusive load monitoring is employed for extracting …

An overview of non-intrusive load monitoring: Approaches, business applications, and challenges

M Zhuang, M Shahidehpour, Z Li - … international conference on …, 2018 - ieeexplore.ieee.org
Load Monitoring (LM) is a fundamental step to implement effective energy management
schemes. LM includes Intrusive LM (ILM) and Non-Intrusive LM (NILM). Compared with …

Non-intrusive load monitoring by voltage–current trajectory enabled transfer learning

Y Liu, X Wang, W You - IEEE Transactions on Smart Grid, 2018 - ieeexplore.ieee.org
Non-intrusive load monitoring (NILM) is a technique for analyzing changes in the voltage
and current flowing through the main feeder and determining the appliances in operation as …

Comprehensive feature selection for appliance classification in NILM

N Sadeghianpourhamami, J Ruyssinck… - Energy and …, 2017 - Elsevier
Since the inception of non-intrusive appliance load monitoring (NILM), extensive research
has focused on identifying an effective set of features that allows to form a unique appliance …

Temporal and spectral feature learning with two-stream convolutional neural networks for appliance recognition in NILM

J Chen, X Wang, X Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Non-intrusive load monitoring (NILM) can monitor the operating state and energy
consumption of appliances without deploying sub-meters and is promising to be widely used …

Non-intrusive energy disaggregation using non-negative matrix factorization with sum-to-k constraint

A Rahimpour, H Qi, D Fugate… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Energy disaggregation or non-intrusive load monitoring addresses the issue of extracting
device-level energy consumption information by monitoring the aggregated signal at one …

STFT cluster analysis for DC pulsed load monitoring and fault detection on naval shipboard power systems

A Maqsood, D Oslebo, K Corzine… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Current trends in Naval shipboard power system architecture indicate that the electrification
of future warships is inevitable, and it will be equipped with loads that draw periodic pulsed …

Toward smart energy user: Real time non-intrusive load monitoring with simultaneous switching operations

Y Liu, W Liu, Y Shen, X Zhao, S Gao - Applied Energy, 2021 - Elsevier
Non-intrusive load monitoring is a promising technology in intelligent energy consumption
management, which can provide insights for electricity use patterns and customer living …

Multi-label learning for appliance recognition in NILM using Fryze-current decomposition and convolutional neural network

A Faustine, L Pereira - Energies, 2020 - mdpi.com
The advance in energy-sensing and smart-meter technologies have motivated the use of a
Non-Intrusive Load Monitoring (NILM), a data-driven technique that recognizes active end …

Selection of features from power theories to compose NILM datasets

WA Souza, AMS Alonso, TB Bosco, FD Garcia… - Advanced engineering …, 2022 - Elsevier
The load disaggregation concept is gaining attention due to the increasing need for
optimized energy utilization and detailed characterization of electricity consumption profiles …