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IDAES publications

Materials related to or referenced in IDAES publications

Contributing to this repository

If you have a paper or presentation using IDAES-PSE (or funded by IDAES), it would be nice to contribute the code to this repository so that others may reproduce your results and use them in their own studies. This does not necessitate testing, readability, code review, future maintenance, or any other standards for contributing code to the IDAES-PSE or Examples-PSE repositories. The requirements for a contribution to this repository are:

  1. Code is contained in a subdirectory named to uniquely correspond to the paper whose results it produces. The format name_venueYEAR/ is suggested.
  2. The version of all (Python package) dependencies is included. This may be in a requirements.txt file or a README file. Non-Python dependencies (for instance, your paper compares standard power network optimization solves between two solvers, one in Julia, one in Python) will be handled on a case-by-case basis.
  3. The code runs. We will generally take your word on this, although we reserve the right to postpone merging pull requests if we find the code to not work on anybody else's local machine. Optionally, you may structure your code its own Python package with a small setup.py to make it easier for others to import and experiment with your code.

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  • Jupyter Notebook 83.7%
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