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]]).
Code (Version =1.1.1=) utilized to generate the results in the publication "Prosumer Response Estimation using SINDyc in conjunction with Markov-chain Monte-Carlo Sampling":
Version =1.1.1=.
#+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
This code is citable through the following BibTeX entry:
#+BEGIN_QUOTE
@software{banis_frederik_2020_3911952,
author = {Banis, Frederik},
title = {SINDyc And MCMC Framework},
month = jun,
year = 2020,
publisher = {Zenodo},
version = {1.1.1},
doi = {10.5281/zenodo.3911952},
url = {https://doi.org/10.5281/zenodo.3911952}
}
#+END_QUOTE
See https://zenodo.org/record/3911952#.XvmavjWxWCh.
* Prerequisites
- Tested on a UNIX-based system. For the usage on MS-Windows® replace all =./= with =.\= [fn:1]
- python :: Tested with version =3.7.7=.
...
...
@@ -16,10 +35,6 @@ Version =1.1.1=.
- Create the =./Illustrations= folder in this directory, if not already present. Plots will be saved in this directory.
* 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= (https://pypi.org/project/black/). Versioned using =semver= (https://semver.org/).
