Prepare v0.7 release in documentation

doc/conf.py

@@ -14,9 +14,9 @@
 master_doc = 'index'
 
 project = u'urbs'
-copyright = u'2014-2016, tum-ens'
-version = '0.5'
-release = '0.5'
+copyright = u'2014-2017, tum-ens'
+version = '0.7'
+release = '0.7'
 
 exclude_patterns = ['_build']
 #pygments_style = 'sphinx'
@@ -72,7 +72,7 @@
 epub_title = u'urbs'
 epub_author = u'tum-ens'
 epub_publisher = u'tum-ens'
-epub_copyright = u'2014-2016, tum-ens'
+epub_copyright = u'2014-2017, tum-ens'
 
 epub_exclude_files = ['search.html']
 

doc/index.rst

@@ -9,8 +9,8 @@ urbs: A linear optimisation model for distributed energy systems
 ================================================================
 
 :Maintainer: Johannes Dorfner, <[email protected]>
-:Organization: `Institute for Renewable and Sustainable Energy Systems`_,
-               Technische Universität München
+:Organization: `Chair of Renewable and Sustainable Energy Systems`_,
+               Technical University of Munich
 :Version: |version|
 :Date: |today|
 :Copyright:
@@ -69,11 +69,13 @@ Features
 Changes
 -------
 
-(Upcoming) Version 0.7
+2017-01-13 Version 0.7
 ^^^^^^^^^^^^^^^^^^^^^^
 
-* Plot function (and ``get_timeseries``) now support grouping of multiple sites
-* Environmental commodity costs (e.g. emission taxes or other pollution externalities)
+* Maintenance: Model file ``urbs.py`` split into subfiles in folder ``urbs``
+* Feature: Usable area in site implemented as possible constraint
+* Feature: Plot function (and ``get_timeseries``) now support grouping of multiple sites
+* Feature: Environmental commodity costs (e.g. emission taxes or other pollution externalities)
 * Bugfix: column *Overproduction* in report sheet did not respect DSM
 
 
@@ -159,7 +161,7 @@ Dependencies
 * Any solver supported by pyomo; suggestion: `GLPK`_
 
 .. _glpk: https://www.gnu.org/software/glpk/
-.. _Institute for Renewable and Sustainable Energy Systems: http://www.ens.ei.tum.de/
+.. _Chair of Renewable and Sustainable Energy Systems: http://www.ens.ei.tum.de/
 .. _matplotlib: http://matplotlib.org
 .. _pandas: http://pandas.pydata.org
 .. _pyomo: http://www.pyomo.org