Jingkun Gao
Mario Bergés
ABSTRACT
We introduce the Plug-Level Appliance Identification Dataset (PLAID), a public and crowd-sourced dataset for load identification research consisting of short voltage and current measurements (in the order of a few seconds) for different residential appliances. The goal of PLAID is to provide a public library for high-resolution appliance measurements that can be integrated into existing or novel appliance identification algorithms. PLAID currently contains measurements for more than 200 different appliance instances, representing 11 appliance classes, and totaling more than a thousand records. In this demo we summarize the existing dataset, demonstrate how new records can be added to the library using a web interface and, finally, walk through a live example of how the library can be integrated into an existing non-intrusive load monitoring (NILM) algorithm framework.
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Digital Library
- J. Kelly and W. J. Knottenbelt. Metadata for energy disaggregation. CoRR, abs/1403.5946, 2014. Google ScholarDigital Library
- A. Reinhardt, D. Burkhardt, M. Zaheer, and R. Steinmetz. Electric appliance classification based on distributed high resolution current sensing. In 37th Annual IEEE Conference on Local Computer Networks -- Workshops, pages 999--1005. IEEE, Oct. 2012.Google ScholarCross Ref
Index Terms
- PLAID: a public dataset of high-resoultion electrical appliance measurements for load identification research: demo abstract
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