A model to predict total electricity loads
tell is an open-source Python package to model future hourly total electricity loads.
tell was created to:
Project the short- and long-term evolution of hourly electricity demand in response to changes in weather and climate.
Work at a spatial resolution adequate for input to a unit commitment/economic dispatch (UC/ED) model.
Maintain consistency with the long-term growth and evolution of annual state-level electricity demand projected by an economically driven human-Earth system model.
tell is available via GitHub repository by using the pip install functionality.
tell requires a Python version between 3.8 and 4.0 as well as a pip install to import the package.
tell has been tested on
Windows and Mac platforms. (Note: For those installing on Windows,
tell is supported by GeoPandas functionality. Please see suggestions for installing GeoPandas on Windows here:
pip install tell
Check out a quickstarter tutorial to run
tell using the quickstarter tutorial: Quickstarter.
tell? Get familiar with what
tell is all about in our Getting Started documentation.
Our User Guide provides in-depth information on the key concepts of
tell and how the model works.
Whether you find a typo in the documentation, find a bug, or want to develop functionality that you think will make
tell more robust, you are welcome to contribute. Please see our Contribution Guidelines for more details.
The API Reference contains a detailed description of the
tell API. The reference describes how the methods work and which parameters can be used. It assumes that you have an understanding of the key concepts.
Need help with
tell or have a comment? Please open a new Issue with your question/comments.
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