https://github.com/ch-shin/ENERTALK-dataset

The ENERTALK Dataset, 15 Hz Electricity Consumption Data from 22 Houses in Korea
https://github.com/ch-shin/ENERTALK-dataset

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The ENERTALK Dataset, 15 Hz Electricity Consumption Data from 22 Houses in Korea

• Host: GitHub
• URL: https://github.com/ch-shin/ENERTALK-dataset
• Owner: ch-shin
• Created: 2019-05-05T05:23:40.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T01:48:04.000Z (about 2 years ago)
• Last Synced: 2024-08-02T14:05:58.361Z (5 months ago)
• Language: Jupyter Notebook
• Homepage: https://www.enertalk.com/
• Size: 11.8 MB
• Stars: 20
• Watchers: 1
• Forks: 10
• Open Issues: 26
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-energy-tools - ENERTALK - 122 days | 15 Hz | (Datasets / Electricity-Demand)

README

        
# ENERTALK-dataset

**The ENERTALK Dataset, 15 Hz Electricity Consumption Data from 22 Houses in Korea [[paper]](https://www.nature.com/articles/s41597-019-0212-5.epdf) [[dataset]](https://springernature.figshare.com/collections/The_ENERTALK_Dataset_15_Hz_Electricity_Consumption_Data_from_22_Houses_in_Korea/4502780)**

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