NILMPEds: A Performance Evaluation Dataset for Event Detection Algorithms in Non-Intrusive Load Monitoring
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/BUPJNR
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资源简介：
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 <b>47950</b> 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 <b>31</b> performance metrics.
提供机构：
Harvard Dataverse
创建时间：
2019-06-30
