NILMPEds (NILM Performance Evaluation dataset), is a different type of NILM dataset, in a sense that it is aimed primarily at research reproducibility with respect to the development and performance evaluation of event detection algorithms. NILMPEds contains the results of 47950 event detection models when applied to four public event detection datasets. The different parameter configuration of each model and the ground-truth data are also available. Finally, this dataset also contains the performance evaluation of each model according to 31 performance metrics.
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information,
and information on cookie use.