TimeSeriesR: Time Series Machine Learning in R

The TimeSeriesR package was used to verify the effectiveness of the solution proposed in ¹, in terms of cluster validity and execution time (on real UK smart meter data ²). Please note that this implementation is made as a proof of concept, and not as a complete production-ready package. However, if you are using this software, please cite reference ¹.

Prerequisites:

1. R 4.1.2+
2. RTools 4.0+

You can also try an extended solution from the culearn package, written entirely in Python.

References

Footnotes

1. Igor Manojlović, Goran Švenda, Aleksandar Erdeljan, Milan Gavrić: Time series grouping algorithm for load pattern recognition, Computers in Industry 111: 140-147 (2019), DOI: 10.1016/j.compind.2019.07.009 ↩ ↩²

2. LCL dataset, https://data.london.gov.uk/dataset/smartmeter-energy-use-data-in-london-households ↩