pv-rooftops

Georgetown Data Science PV Rooftops Project

For more details of the project, check out the research paper

Below: a screenshot of the home page

Below: data pipeline for this project

Below: API to predicted the market growth (input: year and installation price)

How to run the Website locally:

1. Naviagte to Django Web App directory webapp-google-container-engine
2. Install requirements.txt: execute the command pip install -r requirements.txt
3. Execute the command python manage.py runserver and Open web browser to load the website 'http://localhost:8000'

How to run the API locally:

1. Naviagte to Django API directory django_pv and execute the command python manage.py runserver -- The DIRS[] settting of the TEMPLATES configuration in django_pv/settings.py may have to be changed to read 'DIRS': ['pv/templates'],
2. Open web browser and type http://localhost:8000/pv/?year=#&price=# replacing #'s with desired variable. -- For years <= 2015, pre-extracted, non-predicted values will be used. Everything else is predicted by national isntallation price per watt.
3. Please update requirements.txt as necessary

This is a Django dataproject: https://www.djangoproject.com/
All data is saved to a PostgreSQL relational database.