Ensure that you have Python 3.7+ and the corresponding version of pip.
pip install besos[complete] to install all the dependencies and examples.
If you do not want to run the example notebooks, you can use
pip install besos, which will install with less dependencies.
We use third party software to run building models (EnergyPlus), to solve EnergyHub models (a MILP solver), and make use of Rbfopt (via Bonmin). To use this functionality you need to install the software for the corresponding the task. GLPK and Bonmin are optional, it is possible to use Besos without them.
Download EnergyPlus here. (BESOS is currently supporting versions from 8.8-9.3+).
For windows: After downloading the installation file, double click the setup file to start installing. After setup is complete, navigate to your System Properties and in the Advanced tab, select Environment Variables. In either your User Variables or System Variables (Depending on your permissions), double click on Path and add the location of your EnergyPlus folder to the end of it.
For linux: Run the downloaded script, and accept the prompt to add symlinks.
TensorFlow (only required to use TensorFlow)¶
TensorFlow is a machine learning library of which we have provided some examples. This package is quite large 300 mb therefore we have not added this to the requirements.
To install TensorFlow use pip install.
pip install tensorflow
MILP solver (only required to use EnergyHub)¶
GLPK is free and open source. It can be found here. If you are using a Debian based operating system, you can install GLPK with sudo apt install glpk-utils