A Streamlit app for Octopus energy agile data analytics for residential applications. Useful for household appliance cost predictions, such as timing usage of high-energy devices (kettle, dishwasher, laundry machine).
Currently, this module is installable via navigating to the root directory and running the following:
pip install -e .Install with optional developer dependencies:
pip install -e '.[dev]'This web app is currently deployed on the Streamlit Community Cloud. A user API from Octopus Energy is currently required as an input. Currently, the tarrif is set to Southern England, with a goal to add additional regions as development happens.
For a local development server, run the below streamlit command:
streamlit run Home.pywhich creates a local server and hosts the site at localhost:8501.