[](https://gitlab.com/l-kotzur/tsorb/pipelines)
[](https://pypi.python.org/pypi/tsorb)
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# tsorb - Time Series of Occupants in Residential Buildings
*tsorb* is a python module derived from the first version of the CREST Demand Model [1,2,3]. It was updated with four state occupancy data [4] and validated for Germany [5]. It creates time series of occupancy activity and device load in residential buildings.
## Installation
Directly install via pip as follows:
pip install tsorb
Alternatively, clone a local copy of the repository to your computer
git clone https://github.com/FZJ-IEK3-VSA/tsorb.git
Then install tsorb via pip as follow
cd tsorb
pip install .
## License
Copyright (C) 2008, 2011 Ian Richardson*, Murray Thomson*, Eoghan McKenna*
2016 Nils Becker, 2018 Leander Kotzur**, Kevin Knosala**, Peter Stenzel**, Peter Markewitz**, Martin Robinius**, Detlef Stolten**
*CREST (Centre for Renewable Energy Systems Technology),
Department of Electronic and Electrical Engineering
Loughborough University, Leicestershire LE11 3TU, UK
** Institute of Techno-economic Systems Analysis (IEK-3), Forschungszentrum Jueulich GmbH, Wilhelm-Johnen-Str., 52428 Juelich, Germany
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
## References
[1] Richardson, I., Thomson, M., and Infield, D. A high-resolution domestic building occupancy model for energy demand simulations. Energy and Buildings, 40(8):1560–1566, 2008. ISSN 03787788. doi: 10.1016/j.enbuild.2008.02.006.
[2] Richardson, I., Thomson, M., Infield, D., and Delahunty, A. Domestic lighting: A high-resolution energy demand model. Energy and Buildings, 41(7):781–789, 2009. ISSN 03787788. doi: 10.1016/j.enbuild.2009.02.010.
[3] Richardson, I., Thomson, M., Infield, D., and Clifford, C. Domestic electricity use: A high-resolution energy demand model. Energy and Buildings, 42(10):1878–1887, 2010. ISSN 03787788. doi: 10.1016/j.enbuild.2010.05.023.
[4] McKenna, E. and Thomson, M. High-resolution stochastic integrated thermal–electrical domestic demand model. Applied Energy, 165:445–461, 2016.ISSN 03062619. doi: 10.1016/j.apenergy.2015.12.089.
[5] Kotzur, L. [Future grid load of the residential building sector](http://juser.fz-juelich.de/record/858675). Thesis, 2018. isbn: 978-3-95806-370-9,
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