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

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 and Rodrigo Braun dos Santos
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Douglas Paulo Bertrand Renaux: LIT-Laboratory of Innovation and Technology in Embedded Systems and Energy, Universidade Tecnológica Federal do Paraná-UTFPR, Sete de Setembro, 3165, Curitiba 80230-901, Brazil
Fabiana Pottker: LIT-Laboratory of Innovation and Technology in Embedded Systems and Energy, Universidade Tecnológica Federal do Paraná-UTFPR, Sete de Setembro, 3165, Curitiba 80230-901, Brazil
Hellen Cristina Ancelmo: LIT-Laboratory of Innovation and Technology in Embedded Systems and Energy, Universidade Tecnológica Federal do Paraná-UTFPR, Sete de Setembro, 3165, Curitiba 80230-901, Brazil
André Eugenio Lazzaretti: LIT-Laboratory of Innovation and Technology in Embedded Systems and Energy, Universidade Tecnológica Federal do Paraná-UTFPR, Sete de Setembro, 3165, Curitiba 80230-901, Brazil
Carlos Raiumundo Erig Lima: LIT-Laboratory of Innovation and Technology in Embedded Systems and Energy, Universidade Tecnológica Federal do Paraná-UTFPR, Sete de Setembro, 3165, Curitiba 80230-901, Brazil
Robson Ribeiro Linhares: LIT-Laboratory of Innovation and Technology in Embedded Systems and Energy, Universidade Tecnológica Federal do Paraná-UTFPR, Sete de Setembro, 3165, Curitiba 80230-901, Brazil
Elder Oroski: LIT-Laboratory of Innovation and Technology in Embedded Systems and Energy, Universidade Tecnológica Federal do Paraná-UTFPR, Sete de Setembro, 3165, Curitiba 80230-901, Brazil
Lucas da Silva Nolasco: LIT-Laboratory of Innovation and Technology in Embedded Systems and Energy, Universidade Tecnológica Federal do Paraná-UTFPR, Sete de Setembro, 3165, Curitiba 80230-901, Brazil
Lucas Tokarski Lima: LIT-Laboratory of Innovation and Technology in Embedded Systems and Energy, Universidade Tecnológica Federal do Paraná-UTFPR, Sete de Setembro, 3165, Curitiba 80230-901, Brazil
Bruna Machado Mulinari: LIT-Laboratory of Innovation and Technology in Embedded Systems and Energy, Universidade Tecnológica Federal do Paraná-UTFPR, Sete de Setembro, 3165, Curitiba 80230-901, Brazil
José Reinaldo Lopes da Silva: LIT-Laboratory of Innovation and Technology in Embedded Systems and Energy, Universidade Tecnológica Federal do Paraná-UTFPR, Sete de Setembro, 3165, Curitiba 80230-901, Brazil
Júlio Shigeaki Omori: COPEL-Companhia Paranaense de Energia, José Izidoro Biazetto, 158, Curitiba 82305-100, Brazil
Rodrigo Braun dos Santos: COPEL-Companhia Paranaense de Energia, José Izidoro Biazetto, 158, Curitiba 82305-100, Brazil

Energies, 2020, vol. 13, issue 20, 1-35

Abstract: 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 voltage, current, or power, the availability of indications (ground-truth) of load events during recording, the variety and representativeness of the loads, and the variety of situations these loads are subject to. Considering such aspects, the proposed LIT-Dataset was designed, populated, evaluated, and made publicly available to support NILM development. Among the distinct features of the LIT-Dataset is the labeling of the load events at sample level resolution and with an accuracy and precision better than 5 ms. The availability of such precise timing information, which also includes the identification of the load and the sort of power event, is an essential requirement both for the evaluation of NILM algorithms and techniques, as well as for the training of NILM systems, particularly those based on Machine Learning.

Keywords: Non-Intrusive Load Monitoring (NILM); NILM datasets; power signature; electric load simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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