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A Bayesian Approach to Unsupervised, Non-Intrusive Load Disaggregation [PDF]
Sensors, 2022 Estimating household energy use patterns and user consumption habits is a fundamental requirement for management and control techniques of demand response programs, leading to a growing interest in non-intrusive load disaggregation methods.
Luca Massidda, Marino Marrocu
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A Field Study of Nonintrusive Load Monitoring Devices and Implications for Load Disaggregation [PDF]
Sensors, 2023 Evaluations of nonintrusive load monitoring (NILM) algorithms and technologies have mostly occurred in constrained, artificial environments. However, few field evaluations of NILM products have taken place in actual buildings under normal operating ...
Ebony Mayhorn +2 more
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A Data-Centric Analysis of the Impact of Non-Electric Data on the Performance of Load Disaggregation Algorithms [PDF]
Sensors, 2022 Recent research on non-intrusive load monitoring, or load disaggregation, suggests that the performance of algorithms can be affected by factors beyond energy data.
João Góis, Lucas Pereira, Nuno Nunes
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Near Real-Time Low Frequency Load Disaggregation
ENP Engineering Science Journal, 2021 Device-level power consumption information can lead to considerable energy savings. Smart meters are being adopted in several countries, but they are only capable of measuring the total power consumption. NonIntrusive Load Monitoring (NILM) aims to infer
Selim Sahrane, Mourad Haddadi
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Load Disaggregation Using Microscopic Power Features and Pattern Recognition [PDF]
Energies, 2019 A new generation of smart meters are called cognitive meters, which are essentially based on Artificial Intelligence (AI) and load disaggregation methods for Non-Intrusive Load Monitoring (NILM).
Wesley Angelino de Souza +4 more
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Energy Reports, 2021 Toward the smart power and energy consumption, non-intrusive load monitoring is emerging as the promising technical assistance of intelligent energy user.
Yu Liu +4 more
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A NILM method for cooling load disaggregation based on artificial neural network [PDF]
E3S Web of Conferences, 2019 The demand of building energy management has increased due to high energy saving potentials. Load monitor and disaggregation can provide useful information for building energy management systems with detailed and individual loads of the building, so ...
Xiao Ziwei +4 more
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Device and Time Invariant Features for Transferable Non-Intrusive Load Monitoring
IEEE Open Access Journal of Power and Energy, 2022 Non-Intrusive Load Monitoring aims to extract the energy consumption of individual electrical appliances through disaggregation of the total power consumption as measured by a single smart meter in a household.
Pascal A. Schirmer, Iosif Mporas
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AMBAL: Realistic load signature generation for load disaggregation performance evaluation [PDF]
2017 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2017 Well annotated power consumption traces are a crucial prerequisite for the development and analysis of load disaggregation algorithms. Due to the high efforts required to collect such traces in the real world, their synthetic generation has emerged as a viable alternative.
Reinhardt, Andreas, Buneeva, Nadezda
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IET Generation, Transmission & Distribution, 2023 The immeasurable energy‐saving potential of industrial parks and commercial buildings with unprecedented growth in scale and quantity can be well exploited by load disaggregation, a promising technique for demand‐side refinement management.
Xiu Yang +3 more
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