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DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electrical Consumption Time Series

Home Page: https://whichdevice.streamlit.app/

License: MIT License

Python 100.00%
appliance appliance-detection class-activation-maps classification electricity-consumption python streamlit time-series time-series-analysis time-series-classification

whichdevice's Introduction

DeviceScope

An interactive tool to browse, detect and localize appliance patterns in electrical consumption time series

GitHub GitHub issues

Try our demo

DeviceScope is a Python-based web interactive tool that enables to understand better smart meters time series data. The application facilitate the understanding of electrical consumption patterns by identifying and localizing individual appliance usage within electrical consumption data.

Contributors

Usage

Step 1: Clone this repository using git and change into its root directory.

git clone https://github.com/boniolp/wichdevice.git
cd whichdevice/

Step 2: Create and activate a conda environment and install the dependencies.

conda create -n wichdevice python=3.8
conda activate wichdevice
pip install -r requirements.txt

Step 3: You can use our tool in two different ways:

streamlit run Hello.py

Acknowledgments

Work supported by EDF R&D and ANRT French program.

whichdevice's People

Contributors

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