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A python project of a Model Predictive Controller (MPC) for Urban Drainage Networks (UDNs) to mitigate Combined Sewer Overflows (CSOs)

Jupyter Notebook 21.65% Python 78.35%

waterlab_mpc's Introduction

waterlab_mpc

A Model Predictive Controller for use in Urban Drainage Networks (UDNs) to mitigate Combined Sewer Overflows (CSOs)

Installations and requirements

  1. Install https://git-scm.com/downloads You can also install a git GUI if you’d rather not do terminal based git management like this https://desktop.github.com/

  2. Install anaconda https://www.anaconda.com/distribution/ A base environment is generally created for you when you install anaconda. In here install jupyter lab conda install -c conda-forge jupyterlab Once we have the repo we’ll create an updated anaconda environment.yml to share the dependencies through git. Some basic python packages to skim through Pandas https://pandas.pydata.org/docs/getting_started/10min.html Numpy https://numpy.org/devdocs/user/quickstart.html Matplotlib (or bokeh) https://matplotlib.org/

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ahodzic7 avatar dmicha16 avatar frizzerdk avatar jakepoulsen avatar kballamark avatar thecasperknudsen avatar

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