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Bayesian Calibration for EnergyPlus written in Python, developed by the team from Center for Building Performance and Diagnostics, Carnegie Mellon University

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BayCab4BEM

To run (Linux environment)

  1. Create a virtual environment.
virtualenv --python=python3.5 virt_env
  1. Enter the virtual environment
source path_to_virt_env/bin/activate
  1. Install the required depedencies
pip install -U -r path_to_requirements.txt
  1. Run the main
python src/testWithSim.py

or

python src/testWithData.py

Known issues

  1. If Pystan has compile problem, try
sudo apt-get install python3 python-dev python3-dev \
     build-essential libssl-dev libffi-dev \
     libxml2-dev libxslt1-dev zlib1g-dev \
     python-pip

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Bayesian Calibration for EnergyPlus written in Python, developed by the team from Center for Building Performance and Diagnostics, Carnegie Mellon University

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