Metadata-Version: 2.1
Name: tsorb
Version: 0.0.3
Summary: Time Series of Occupants in Residential Buildings
Home-page: https://github.com/FZJ-IEK3-VSA/tsorb
Author: Forschungszentrum Juelich GmbH
Author-email: l.kotzur@fz-juelich.de
License: UNKNOWN
Description: [![Build Status](https://img.shields.io/gitlab/pipeline/l-kotzur/tsorb/master.svg)](https://gitlab.com/l-kotzur/tsorb/pipelines)
        [![Version](https://img.shields.io/pypi/v/tsorb.svg)](https://pypi.python.org/pypi/tsorb)
        
        
        <a href="https://www.fz-juelich.de/iek/iek-3/EN/Home/home_node.html"><img src="https://www.fz-juelich.de/SharedDocs/Bilder/INM/INM-1/EN/FZj_Logo.jpg?__blob=normal" alt="Forschungszentrum Juelich Logo" width="230px"></a> 
        
        
        # 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,
        
Keywords: residential buildings,electricity load,occupancy behavior,markov chain
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
