A Dataset for Non-Intrusive Load Monitoring: Design and Implementation

A Dataset for Non-Intrusive Load Monitoring: Design and Implementation

A NILM dataset is a valuable tool in the development of Non-Intrusive Load Monitoring techniques, as it provides a means of evaluation of novel techniques and algorithms, as well as for benchmarking. The figure of merit of a NILM dataset includes characteristics such as the sampling frequency of the...

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Bibliographic Details
Main Authors: Douglas Paulo Bertrand Renaux, Fabiana Pottker, Hellen Cristina Ancelmo, André Eugenio Lazzaretti, Carlos Raiumundo Erig Lima, Robson Ribeiro Linhares, Elder Oroski, Lucas da Silva Nolasco, Lucas Tokarski Lima, Bruna Machado Mulinari, José Reinaldo Lopes da Silva, Júlio Shigeaki Omori, Rodrigo Braun dos Santos
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Energies
Subjects:
Non-Intrusive Load Monitoring (NILM)
NILM datasets
power signature
electric load simulation
Online Access:https://www.mdpi.com/1996-1073/13/20/5371

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https://www.mdpi.com/1996-1073/13/20/5371

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