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    #+TITLE: README:
    * Description
    
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    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]]).
    
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    * TODO Prerequisites
    
    - python :: Tested with version =3.7.7=.
      - numpy :: https://pypi.org/project/numpy/. Tested with version =1.18.5=.
      - pandas :: https://pypi.org/project/pandas/. Tested with version =1.0.5=.
      - control :: https://pypi.org/project/control/. Tested with version =0.8.2=.
      - pystan :: https://pypi.org/project/pystan/. Tested with version =2.19.1.1=.
      - pySINDy :: https://github.com/luckystarufo/pySINDy/.
        - Recent package version, untested :: https://github.com/dynamicslab/.
    
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    * TODO Installation
    * TODO License
    
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    This code is licensed under the MIT license. See the =License= statement in this directory.
    * Reference paper
    
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    #+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
    
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    * Miscellaneous
    
    Formatted using =black= [fn:1].
    
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    * Footnotes
    
    [fn:1] https://pypi.org/project/black/.