Enhancing Energy Disaggregation with Attention-Based Neural Network
Deep Neural Networks (DNNs) have been the subject of much research over the years, with a particular emphasis on Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). The purpose of this study is to evaluate the energy usage of single-source appliances, like smart meters, in the context of Non-Intrusive Load Monitoring (NILM). This
Balti, Nidhal +2 more
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An Instrumental High-Frequency Smart Meter with Embedded Energy Disaggregation. [PDF]
Sensors (Basel)Kolosov D +3 more
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First energy disaggregation algorithms
Initial prototype, with documentation, of the algorithms for energy disaggregation into end ...
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Final energy disaggregation algorithms
Initial prototype, with documentation, of the algorithms for energy disaggregation into end uses, updated after the validation in the pilots.
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COFACTOR-residential: Hourly electricity and heating data from residential buildings in Norway. [PDF]
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A Hybrid Federated Learning Framework for Enhancing Privacy and Robustness in Non-Intrusive Load Monitoring. [PDF]
Sensors (Basel)Rong J, Zhou Q, Wu H.
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