Add thermal demand generation methods

Prosumer/scripts/time_series_processing.py

@@ -131,6 +131,14 @@ def generate_profile(t_start, t_step, t_horizon, prediction='Perfect', **kwargs)
             # plt.plot(self.__input_profiles['hot_water_demand'])
             # plt.title('Hot Water Demand')
             # plt.show()
+        elif profile == 'generate_therm_demand_tek':
+            bld_typ = kwargs[profile][0]
+            total_demand = kwargs[profile][1]
+            weather = kwargs[profile][2]
+        elif profile == 'generate_water_demand_tek':
+            bld_typ = kwargs[profile][0]
+            total_demand = kwargs[profile][1]
+            weather = kwargs[profile][2]
         else:
             # apply prediction methods upon other input profiles (air_temp, irradiance, etc.)
             predictors[profile] = PredictionGenerator(kwargs[profile], method=prediction)