Difference between revisions of "Non-Intrusive Load Monitoring"

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*'''NILMTK''': An Open source NILM toolkit in Python that provides wrappers to popular datasets, has implemented several benchmark algorithms and provides standard interfaces for benchmarking NILM algorithms, available [https://nilmtk.github.io/ here].
==Data==
* '''Reference Energy Disaggregation Data Set (REDD)''': A benchmark dataset for the NILM task containing, containing several weeks of power data for 6 different homes, and high-frequency current/voltage data for the main power supply of two of these homes, available [http://redd.csail.mit.edu/ here] and a [https://github.com/nilmtk/ NILMT] wrapper [https://github.com/nilmtk/nilmtk/tree/master/nilmtk/dataset_converters/redd here].
* '''GREEND ''': Another benchmark dataset for the NILM task containing power measurements collected from multiple households in Austria and Italy with sampling rate of 1 Hz, available [https://sourceforge.net/projects/greend/ here] and a [https://github.com/nilmtk/ NILMT] wrapper [https://github.com/nilmtk/nilmtk/tree/master/nilmtk/dataset_converters/greend here].
* '''REFIT''': Benchmark dataset for the NILM task containing cleaned electrical consumption data in Watts for 20 households at aggregate and appliance level, timestamped and sampled at 8 second intervals, available [https://pureportal.strath.ac.uk/en/datasets/refit-electrical-load-measurements-cleaned here] and a [https://github.com/nilmtk/ NILMT] wrapper [https://github.com/nilmtk/nilmtk/tree/master/nilmtk/dataset_converters/refit here].
 
==Future Directions==
==References==
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