Repo moved to https://github.com/SEL-Columbia/PreREISE
PreREISE is part of a Python software ecosystem developed by Breakthrough Energy Sciences to carry out power flow study in the U.S. electrical grid.
PreREISE is dedicated to the building of demand, hydro, solar and wind profiles. A detailed presentation of the data source and algorithms used to generate profiles can be found on our docs.
NOTE
Profiles are publicly available for the Breakthrough Energy Sciences (BES) grid model. Therefore, you don’t need to generate any input data if you use the scenario framework to carry out power flow study.
For now, only the source code is available. Clone or Fork the code here on GitHub.
PreREISE relies on:
- PowerSimData, another package developed by Breakthrough Energy Sciences and available here.
- Several Python packages all available on PyPi whose list can be found in the requirements.txt or Pipfile files both located at the root of this package.
Clone PowerSimData in a folder adjacent to your clone of PreREISE as the
installation of packages depends on files in PowerSimData. Then, use the
requirements.txt file (via pip) or Pipfile file (via pipenv) to install
third party dependencies.
Code documentation in form of Python docstrings along with an overview of the package are available on our website.
Sign up to our email list and our Slack workspace to get in touch with us.
All contributions (bug report, documentation, feature development, etc.) are welcome. An overview on how to contribute to this project can be found in our Contribution Guide.