Anomaly detection is a Python scipy based project in which we implement some parts of the article "A Multitiered Solution for Anomaly Detection in Edge Computing for Smart Meters" by Utomo, Darmawan and Hsiung, Pao-Ann.
To install the project the python installation must meet the following requirements:
seaborn
matplotlib
pandas
tslearn.metrics (For DTW score)
- Download the tool.
- Adjust paths such as dataset path.
- Execute it.
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.