Published October 22, 2023
| Version v2
Conference paper
Open
156 Hours of Labeled Power Consumption Dataset of Computer
Description
Overview
This dataset contains the power consumption and ground truth for 40 runs of 4 activity hours on an intel NUC micro-PC. The power consumption is pre-processed from 10 KSPS to 20 SPS with a median filter. The ground truth contains the label for each sample with: -1=UNKNOWN, 0=OFF, 1=IDLE, 2=HIGH LOAD and 3=REBOOT.
Usage
To use the npy format, load the python package numpy and load the data with the `load` function:
```
import numpy as np
trace = np.load("trace_4.npy")
gt = np.load("gt_12.npy")
```
The CSV format can be loaded in a variety of software.
Changelog
An index issue was present in the first version. The ground truth and trace were offset by 1 (trace n was associated with ground truth n-1). Moreover, trace 2 did not have a corresponding ground truth. This new version fixes this issue and removes the trace without ground truth. Naming convention was also changed to include leading 0 and make listing easier in file explorers.
Files
Files
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