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provides generic functions and classes commonly\nused for the analysis and optimization of **e**nergy systems, **b**uildings and indoor **c**limate (**EBC**).\n\nKey features are:\n\n* `SimulationAPI`'s\n* Optimization wrapper\n* Useful loading of time series data and time series data accessor for DataFrames\n* Pre-/Postprocessing\n* Modelica utilities\n\nIt was developed together with `AixCaliBuHA`, a framework for an automated calibration of dynamic building and HVAC models. During this development, we found several interfaces relevant to further research. We thus decoupled these interfaces into `ebcpy` and used the framework, for instance in the design optimization of heat pump systems ([link](https://www.sciencedirect.com/science/article/abs/pii/S0196890421010645?via%3Dihub)).\n\n# Installation\n\nTo install, simply run\n```\npip install ebcpy\n```\n\nIn order to use all optional dependencies (e.g. `pymoo` optimization), install via:\n\n```\npip install ebcpy[full]\n```\n\nIf you encounter an error with the installation of `scikit-learn`, first install `scikit-learn` separatly and then install `ebcpy`:\n\n```\npip install scikit-learn\npip install ebcpy\n```\n\nIf this still does not work, we refer to the troubleshooting section of `scikit-learn`: https://scikit-learn.org/stable/install.html#troubleshooting. Also check [issue 23](https://github.com/RWTH-EBC/ebcpy/issues/23) for updates.\n\nIn order to help development, install it as an egg:\n\n```\ngit clone https://github.com/RWTH-EBC/ebcpy\npip install -e ebcpy\n```\n\n# How to get started?\n\nWe recommend running our jupyter-notebook to be guided through a **helpful tutorial**.  \nFor this, run the following code:\n```\n# If jupyter is not already installed:\npip install jupyter\n# Go into your ebcpy-folder (cd \\path_to_\\ebcpy) or change the path to tutorial.ipynb and run:\njupyter notebook tutorial\\tutorial.ipynb\n```\n\nOr, clone this repo and look at the examples\\README.md file.\nHere you will find several examples to execute.\n\n# How to cite ebcpy\n\nPlease use the following metadata to cite `ebcpy` in your research:\n\n```\n@article{Wuellhorst2022,\n  doi = {10.21105/joss.03861},\n  url = {https://doi.org/10.21105/joss.03861},\n  year = {2022},\n  publisher = {The Open Journal},\n  volume = {7},\n  number = {72},\n  pages = 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[Documentation](https://rwth-ebc.github.io/ebcpy/master/docs/index.html).\n\n# Problems or questions?\nPlease [raise an issue here](https://github.com/RWTH-EBC/ebcpy/issues/new).\n\nFor other inquires, please contact [ebc-tools@eonerc.rwth-aachen.de](mailto:ebc-tools@eonerc.rwth-aachen.de).\n","funding_links":[],"readme_doi_urls":["https://doi.org/10.21105/joss.03861"],"works":{"https://doi.org/10.21105/joss.03861":{"id":"https://openalex.org/W4224256088","doi":"https://doi.org/10.21105/joss.03861","title":"AixCaliBuHA: Automated calibration of building and HVAC systems","display_name":"AixCaliBuHA: Automated calibration of building and HVAC 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