besos: Building and Energy Systems Optimization and Surrogate-modelling

BESOS is a collection of modules for the simulation and optimization of buildings and urban energy systems. BESOS is designed to help researchers and practitioners to design more sustainable, district-integrated buildings. It integrates EnergyPlus and EnergyHub simulation software with optimization and machine learning functionality. this includes lots of help with 'surrogate modelling', where machine learning models are fitted to data generated by parametric runs of detailed simulation models. BESOS facilitates running large-scale parametric analyses of EnergyPlus or EnergyHub models with output in a pandas DataFrame and using this to train machine learning surrogate models with scikit-learn or TensorFlow. We provide access to commonly used optimization algorithms via existing optimization toolboxes.