ENERTALK-dataset
The ENERTALK Dataset, 15 Hz Electricity Consumption Data from 22 Houses in Korea [paper] [dataset]
This repository contains jupyter notebooks for plots in the ENERTALK dataset paper. In order to visualize figures using notebooks, the 'ENERTALK' dataset must be downloaded first.
Requirements
Listed in requirements.txt
. Install with pip install -r requirements.txt
Data
After acquiring the data and running the setup scripts your folder structure should look like
PROJECT_PATH/
enertalk-dataset/
00/
20161101/
20161102/
...
01/
...
nilmtk-converter
notebooks
tools
Contents in 'nilmtk-converter'
This folder contains nilmtk converter and metadata generator for nilmtk conversion.
metadata/
- Metadata generated by metadata_generator.py
metadata_generator.py
- Metadata generator in accordance with nilm_metadata
convert_enertalk.py
- data converter for nilmtk
Contents in 'notebooks' folder.
The visualization codes are used for the following figures.
Fig04.ipynb
- Figure 4: Data snippets of two houses.
Fig04_reduced.ipynb
- Downsampled version of Figure 4.
Fig05.ipynb
- Figure 5: Data snippets of two houses - measurements plots of six appliances.
Fig06.ipynb
- Figure 6: Snippets of six refrigerators from six different houses.
Fig07.ipynb
- Figure 7: Plots of power consumption measurements for sampling rate of 1/6 Hz, 1 Hz, 15 Hz.
Fig08.ipynb
- Figure 8: Hourly distribution of average power consumption (house 00)
Fig09.ipynb
- Figure 9: Top four cluster centers found with adaptive K-means clustering on the normalized data.
Fig10.ipynb
- Figure 10: Box plot of daily on-ratio over the 22 houses.
Fig11.ipynb
- Figure 11: Heatmap of daily observation ratio for the 22 houses.
Fig12.ipynb
- Figure 12: Average occurrence count of gaps for the 22 houses.
Fig13.ipynb
- Figure 13: Observation ratio of House 00.
Also, 'notebooks' folder contains the simple test code for the nilmtk
nilmtk_test.ipynb
- Simple loading h5 file generated by nilmtk converter