diff --git a/CHANGELOG.md b/CHANGELOG.md
index 8477294e..4b1dd747 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,9 @@
 # Changelog
 
+## [0.4.8] - 2023-03-17
+### Fix
+- Fixed to correct index length for ML forecaster prediction series.
+
 ## [0.4.7] - 2023-03-16
 ### Fix
 - Fixed wrong column name for var_load when using predict with ML forecaster.
diff --git a/docs/conf.py b/docs/conf.py
index 3987943c..ce951477 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -22,7 +22,7 @@
 author = 'David HERNANDEZ'
 
 # The full version, including alpha/beta/rc tags
-release = '0.4.7'
+release = '0.4.8'
 
 # -- General configuration ---------------------------------------------------
 
diff --git a/setup.py b/setup.py
index 3a021e6c..cd0509cc 100644
--- a/setup.py
+++ b/setup.py
@@ -19,7 +19,7 @@
 
 setup(
     name='emhass',  # Required
-    version='0.4.7',  # Required
+    version='0.4.8',  # Required
     description='An Energy Management System for Home Assistant',  # Optional
     long_description=long_description,  # Optional
     long_description_content_type='text/markdown',  # Optional (see note above)
diff --git a/src/emhass/forecast.py b/src/emhass/forecast.py
index eadabe42..509200e3 100644
--- a/src/emhass/forecast.py
+++ b/src/emhass/forecast.py
@@ -613,6 +613,8 @@ def get_load_forecast(self, days_min_load_forecast: Optional[int] = 3, method: O
             else:
                 data_last_window = None
             forecast_out = mlf.predict(data_last_window)
+            # Force forecast_out length to avoid mismatches
+            forecast_out = forecast_out.iloc[0:len(self.forecast_dates)]
             # Define DataFrame
             data_dict = {'ts':self.forecast_dates, 'yhat':forecast_out.values.tolist()}
             data = pd.DataFrame.from_dict(data_dict)