A Non-Intrusive Load Monitoring Algorithm Based on Non-Uniform Sampling of Power Data and Deep Neural Networks

A Non-Intrusive Load Monitoring Algorithm Based on Non-Uniform Sampling of Power Data and Deep Neural Networks

Nowadays, measurement systems strongly rely on the Internet of Things paradigm, and typically involve miniaturized devices on purpose. In these devices, the computational resources and signal acquisition rates are limited in order to preserve battery life. In addition, the amount of streamed data is...

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Bibliographic Details
Main Authors: Marco Fagiani, Roberto Bonfigli, Emanuele Principi, Stefano Squartini, Luigi Mandolini
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Energies
Subjects:
non-intrusive load monitoring
energy disaggregation
deep learning
neural networks
non-uniform sampling
active power
computational energy management
Online Access:https://www.mdpi.com/1996-1073/12/7/1371

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