Pommesdispatch

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Initial public release of ``pommesdispatch`` available on PyPI

* Fixed architecture and docs
* Made input data dependent on years / flexible for years from ``pommesdata`` (2017 until 2030)
* Introduced console scripts for configuring and running
* Added poetry build
* Added tests (with coverage of 88%)
* Added linting CI
* Included CITATION.cff
* Used version numbering convention

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* Added a draft sphinx documentation
* Allowed configuring of model via yaml
* introduced console script

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Initial release of ``pommesdispatch``

Welcome to the *POMMES* cosmos!

**A bottom-up fundamental power market model for the German electricity sector**

Features:

* ``pommesdispatch`` is the **dispatch** variant of *POMMES* that allows
to simulate dispatch decisions and power prices for Germany
in hourly resolution for one year (or shorter time frames).
* ``pommesdispatch`` allows for negative power prices
due to its in-depth representation of renewable plants in the market premium scheme.
* Consistent input data sets for *POMMES* models can be obtained from
`pommesdata <https://github.com/pommes-public/pommesdata>`_,
supporting years between 2017 and 2030 and taking into account various open data sources.
* All *POMMES* models are easy to adjust and extend
because it is build on top of `oemof.solph <https://github.com/oemof/oemof-solph>`_.

Stay tuned for upcoming releases as well as the **data preparation** package ``pommesdata`` and the **investment** variant ``pommes-invest``!