README.org

#+TITLE: README:
* Description
Code utilized to generate the results in the publication "Prosumer Response Estimation using SINDyc in conjunction with Markov-chain Monte-Carlo Sampling" (see Section [[Reference paper]]).
* TODO Prerequisites
- numpy
- pandas
- collections
- control
- pySINDy :: https://github.com/luckystarufo/pySINDy/
  - Recent package version, untested :: https://github.com/dynamicslab/
* TODO Installation
* TODO License
This code is licensed under the MIT license. See the =License= statement in this directory.
* Reference paper
#+BEGIN_QUOTE
Banis, F.; Madsen, H.; Poulsen, N.K.; Guericke, D. Prosumer Response Estimation Using SINDyc in Conjunction with Markov-Chain Monte-Carlo Sampling. Energies 2020, 13, 3183.
#+END_QUOTE
* Miscellaneous
Formatted using /black/[fn:1].

* Footnotes

[fn:1] https://pypi.org/project/black/.