Metadata-Version: 2.1
Name: pydemand
Version: 0.0.3
Summary: Retrive region-specific demand data
Home-page: UNKNOWN
Author: Lukas Franken
Author-email: <lukas.franken@ed.ac.uk>
License: UNKNOWN
Keywords: python,demand,energy,systems,electricity,series,prediction,estimation,heat
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
License-File: LICENSE


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Pydemand

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Pydemand is a energy demand estimation Python library.



Right now, it is in an infant state, only retrieving country-scale electricity

demand data estimated for 2020 in `Long term load projection in high resolution for all countries globally`_.



.. _Long term load projection in high resolution for all countries globally: https://www.sciencedirect.com/science/article/abs/pii/S0142061518336196/



!! While these methods are scalable, they do not guarantee accurate results !!

We refer to the linked paper for a discussion of what to consider before using the data.



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Installation

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The library can be install via ``pip`` from `pypi`



.. code:: shell



    pip install pydemand





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What is next?

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This package is a work in progress. We plan to



1. Retrieve an electricity demand estimation for any passed geospatial polygon

   based on statistical models, trained on the existing data.

2. Add estimations of heat demand profiles to the package, which are also

   retrievable by polygon.

