Specifically, the toolkit includes:
- a number of parsers to read public data sets into a common format
- a suite of statistical functions to analyse such data sets and identify potential problems
- two benchmark energy disaggregation algorithms
- a suite of evaluation metrics to compare disaggregation algorithms
Further details can be found in the accompanying paper recently accepted at e-Energy 2014 available via arXiv and Soton ePrints:
- Batra, N., Kelly, J., Parson, O., Dutta, H., Knottenbelt, W., Rogers, A., Singh, A., Srivastava, M. (2014). NILMTK: An Open Source Toolkit for Non-intrusive Load Monitoring. In Fifth International Conference on Future Energy Systems (ACM e-Energy). Cambridge, UK. arXiv:1404.3878
This release is hopefully just the beginning of the toolkit’s contribution to energy disaggregation, and as such we welcome feedback and contributions to all aspects of the project.
This has been cross posted via Nipun Batra’s blog, Jack Kelly’s blog and the ORCHID project blog.