Add whatsnew for upcoming release

doc/whats_new.rst

@@ -8,5 +8,6 @@ These are new features and improvements of note in each release
     :local:
     :backlinks: top
 
+.. include::  whatsnew/v0-1-0.txt
 .. include::  whatsnew/v006.txt
 .. include::  whatsnew/v005.txt

doc/whatsnew/v0-1-0.txt

@@ -1,53 +1,45 @@
-v0.1.0 ()
-+++++++++++++++++++++++++
+v0.1.0 (expected January 14, 2019)
+++++++++++++++++++++++++++++++++++
 
 New classes
 ###########
 
-* WindFarm class for modelling a wind farm. Defines a standard set of wind farm
-    attributes, for example aggregated power curve and wind farm efficiency to
-    take wake losses into account.
-* WindTurbineCluster class for modelling a turbine cluster that contains
-    several wind turbines and/or wind farms. This class is useful for gathering
-    all wind turbines in a weather data grid cell. An aggregated power curve
-    can be calculated which considers the wake losses of the wind farms by a
-    set efficiency if desired.
-* TurbineClusterModelChain class shows the usage of new functions and classes
-    of windpowerlib v.0.1 and is based on the ModelChain class.
+ * WindFarm class for modelling a wind farm. Defines a standard set of wind farm attributes, for example aggregated power curve and wind farm efficiency to take wake losses into account.
+ * WindTurbineCluster class for modelling a turbine cluster that contains several wind turbines and/or wind farms. This class is useful for gathering all wind turbines in a weather data grid cell. An aggregated power curve can be calculated which considers the wake losses of the wind farms by a set efficiency if desired.
+ * TurbineClusterModelChain class shows the usage of new functions and classes of windpowerlib v.0.1 and is based on the ModelChain class.
 
 New functions
 #############
 
-* power curve smoothing for taking into account the spatial distribution of
+ * power curve smoothing for taking into account the spatial distribution of
     wind speed
-* application of wake losses to a power curve
-* application of wake losses to a wind speed time series
-* logarithmic interpolation/extrapolation for wind speed time series
-* gauss distribution
-* estimation of turbulence intensity by roughness length
+ * application of wake losses to a power curve
+ * application of wake losses to a wind speed time series
+ * logarithmic interpolation/extrapolation for wind speed time series
+ * gauss distribution
+ * estimation of turbulence intensity by roughness length
 
 
 Testing
 #######
 
-* added continuous integration to automatically test the windpowerlib for
-    different python versions and to check the test coverage
+ * added continuous integration to automatically test the windpowerlib for different python versions and to check the test coverage
 
 
 Documentation
 #############
 
-* added second example section and jupyter notebook
+ * added second example section and jupyter notebook
 
 
 Other changes
 #############
-TODO * removed deprecated attributes (.ix)
+ * removed deprecated attributes (.ix)
 
 
 Contributors
 ############
 
-* Sabine Haas
-* Birgit Schachler
-* Uwe Krien
+ * Sabine Haas
+ * Birgit Schachler
+ * Uwe Krien