Project to download from AWS S3 and analyse electricity demand and price data that has been from WiFi enable smart plug. Serves as a follow up to https://github.com/Vlasko/electricity-upload which lives on a Raspberry Pi and collects, then uploads the data to S3.
To use this project AWS keys will need to be saved in the necessary folders.
Files not stored on machine can be downloaded by running downloading.py, and can then be graphed using graphing.py
I have started to experiment with using ML to fill the gaps in the data, so far the best model is ARIMA (4,1,0) on the first 1,000 data points.
- Update ReadMe
- Amend keys storage to allow other users to save their own keys
- Create
setup.pyto create necessary file structure to store data