diff --git a/src/emhass/forecast.py b/src/emhass/forecast.py
index 509200e3..28d1a314 100644
--- a/src/emhass/forecast.py
+++ b/src/emhass/forecast.py
@@ -658,7 +658,7 @@ def get_load_forecast(self, days_min_load_forecast: Optional[int] = 3, method: O
         return P_Load_forecast
     
     def get_load_cost_forecast(self, df_final: pd.DataFrame, method: Optional[str] = 'hp_hc_periods',
-                               csv_path: Optional[str] = "/data/data_load_cost_forecast.csv") -> pd.DataFrame:
+                               csv_path: Optional[str] = "data_load_cost_forecast.csv") -> pd.DataFrame:
         r"""
         Get the unit cost for the load consumption based on multiple tariff \
         periods. This is the cost of the energy from the utility in a vector \
@@ -671,7 +671,7 @@ def get_load_cost_forecast(self, df_final: pd.DataFrame, method: Optional[str] =
             and 'csv' to load a CSV file, defaults to 'hp_hc_periods'
         :type method: str, optional
         :param csv_path: The path to the CSV file used when method = 'csv', \
-            defaults to "/data/data_load_cost_forecast.csv"
+            defaults to "data_load_cost_forecast.csv"
         :type csv_path: str, optional
         :return: The input DataFrame with one additionnal column appended containing
             the load cost for each time observation.
diff --git a/tests/test_forecast.py b/tests/test_forecast.py
index c3b51ece..cb9611f8 100644
--- a/tests/test_forecast.py
+++ b/tests/test_forecast.py
@@ -413,7 +413,8 @@ def test_get_load_cost_forecast(self):
         df_input_data = self.fcst.get_load_cost_forecast(self.df_input_data)
         self.assertTrue(self.fcst.var_load_cost in df_input_data.columns)
         self.assertTrue(df_input_data.isnull().sum().sum()==0)
-        df_input_data = self.fcst.get_load_cost_forecast(self.df_input_data, method='csv')
+        df_input_data = self.fcst.get_load_cost_forecast(self.df_input_data, method='csv',
+                                                         csv_path='/data/data_load_cost_forecast.csv')
         self.assertTrue(self.fcst.var_load_cost in df_input_data.columns)
         self.assertTrue(df_input_data.isnull().sum().sum()==0)
         
@@ -421,7 +422,8 @@ def test_get_prod_price_forecast(self):
         df_input_data = self.fcst.get_prod_price_forecast(self.df_input_data)
         self.assertTrue(self.fcst.var_prod_price in df_input_data.columns)
         self.assertTrue(df_input_data.isnull().sum().sum()==0)
-        df_input_data = self.fcst.get_prod_price_forecast(self.df_input_data, method='csv')
+        df_input_data = self.fcst.get_prod_price_forecast(self.df_input_data, method='csv',
+                                                          csv_path='/data/data_load_cost_forecast.csv')
         self.assertTrue(self.fcst.var_prod_price in df_input_data.columns)
         self.assertTrue(df_input_data.isnull().sum().sum()==0)