/DS_PS_nilm_scripts

Primary LanguagePython

Detection of similarities in consumption patterns, a NILM approach

This set of scripts are part of research in NILM methods based on the detection of similarities in consumption patterns.

Datasets

Datasets were generated based on the well-known dataset UK-DALE, using the scripts normalize-nilmtk-dataset.py and convert-csv-to-h5.py. The resulting datasets can be downloaded from that link.

Publications

Journals:

  • J. Chavat, J. Graneri, and S. Nesmachnow. Non-intrusive energy disaggregation by detecting similarities in consumption patterns. Revista de Ingeniería (In Communication)

Conferences:

  • J. Chavat, J. Graneri, and S. Nesmachnow. Household energy disaggregation based on pattern consumption similarities. In 2nd Iberoamerican Congress on Smart Cities, 2019.