diff --git a/CHANGELOG.md b/CHANGELOG.md
index 915c314e..b53feee2 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -5,6 +5,7 @@
 - Improving documentation, added "what is this" section and added some infographics.
 - Added new forecasts methods chapter in documentation.
 - Added publish of sensors for p_grid_forecast & total value of cost function.
+- Implemented now/current value forecast correction when using MPC.
 
 ## [0.3.15] - 2022-06-06
 ### Fix
diff --git a/src/emhass/forecast.py b/src/emhass/forecast.py
index edfe7247..e737949f 100644
--- a/src/emhass/forecast.py
+++ b/src/emhass/forecast.py
@@ -348,7 +348,10 @@ def get_power_from_weather(self, df_weather: pd.DataFrame,
                 P_PV_forecast = mc.results.ac
         
         if set_mix_forecast:
-            P_PV_forecast = forecast.get_mix_forecast(df_now, P_PV_forecast, 0.5, 0.5, 'sensor.power_photovoltaics')
+            P_PV_forecast = forecast.get_mix_forecast(
+                df_now, P_PV_forecast, 
+                self.params['passed_data']['alpha'], self.params['passed_data']['beta'], 
+                'sensor.power_photovoltaics')
         
         return P_PV_forecast
     
@@ -532,7 +535,10 @@ def get_load_forecast(self, days_min_load_forecast: Optional[int] = 3, method: O
         
         P_Load_forecast = copy.deepcopy(forecast_out['yhat'])
         if set_mix_forecast:
-            P_Load_forecast = forecast.get_mix_forecast(df_now, P_Load_forecast, 0.5, 0.5, 'sensor.power_load_no_var_loads')
+            P_Load_forecast = forecast.get_mix_forecast(
+                df_now, P_Load_forecast, 
+                self.params['passed_data']['alpha'], self.params['passed_data']['beta'], 
+                'sensor.power_load_no_var_loads')
 
         return P_Load_forecast
     
diff --git a/src/emhass/utils.py b/src/emhass/utils.py
index db8c63d1..711f40a4 100644
--- a/src/emhass/utils.py
+++ b/src/emhass/utils.py
@@ -109,7 +109,7 @@ def treat_runtimeparams(runtimeparams: str, params:str, retrieve_hass_conf: dict
             params = json.loads(params)
         else:
             params = {'passed_data':{'pv_power_forecast':None,'load_power_forecast':None,'load_cost_forecast':None,'prod_price_forecast':None,
-                                     'prediction_horizon':None,'soc_init':None,'soc_final':None,'def_total_hours':None}}
+                                     'prediction_horizon':None,'soc_init':None,'soc_final':None,'def_total_hours':None,'alpha':None,'beta':None}}
         freq = int(retrieve_hass_conf['freq'].seconds/60.0)
         delta_forecast = int(optim_conf['delta_forecast'].days)
         forecast_dates = get_forecast_dates(freq, delta_forecast)
@@ -134,6 +134,16 @@ def treat_runtimeparams(runtimeparams: str, params:str, retrieve_hass_conf: dict
             else:
                 def_total_hours = runtimeparams['def_total_hours']
             params['passed_data']['def_total_hours'] = def_total_hours
+            if 'alpha' not in runtimeparams.keys():
+                alpha = 0.5
+            else:
+                alpha = runtimeparams['alpha']
+            params['passed_data']['alpha'] = alpha
+            if 'beta' not in runtimeparams.keys():
+                beta = 0.5
+            else:
+                beta = runtimeparams['beta']
+            params['passed_data']['beta'] = beta
             forecast_dates = copy.deepcopy(forecast_dates)[0:prediction_horizon]
         if 'pv_power_forecast' in runtimeparams.keys():
             if type(runtimeparams['pv_power_forecast']) == list and len(runtimeparams['pv_power_forecast']) >= len(forecast_dates):
diff --git a/src/emhass/web_server.py b/src/emhass/web_server.py
index 61615757..6509dfcf 100644
--- a/src/emhass/web_server.py
+++ b/src/emhass/web_server.py
@@ -105,7 +105,7 @@ def build_params(params, options, addon):
     # The params dict
     params['params_secrets'] = params_secrets
     params['passed_data'] = {'pv_power_forecast':None,'load_power_forecast':None,'load_cost_forecast':None,'prod_price_forecast':None,
-                             'prediction_horizon':None,'soc_init':None,'soc_final':None,'def_total_hours':None}
+                             'prediction_horizon':None,'soc_init':None,'soc_final':None,'def_total_hours':None,'alpha':None,'beta':None}
     return params
 
 @app.route('/')
diff --git a/tests/test_forecast.py b/tests/test_forecast.py
index fc9e4f80..9595cf68 100644
--- a/tests/test_forecast.py
+++ b/tests/test_forecast.py
@@ -49,7 +49,7 @@ def setUp(self):
         self.df_input_data_dayahead = pd.concat([self.P_PV_forecast, self.P_load_forecast], axis=1)
         self.df_input_data_dayahead.columns = ['P_PV_forecast', 'P_load_forecast']
         self.opt = optimization(retrieve_hass_conf, optim_conf, plant_conf, 
-                       self.fcst.var_load_cost, self.fcst.var_prod_price, self.days_list, 
+                       self.fcst.var_load_cost, self.fcst.var_prod_price, 
                        'profit', root, logger)
         self.input_data_dict = {
             'root': root,