diff --git a/pyFTS/models/ensemble/ensemble.py b/pyFTS/models/ensemble/ensemble.py
index b2b8715..2bfd0ff 100644
--- a/pyFTS/models/ensemble/ensemble.py
+++ b/pyFTS/models/ensemble/ensemble.py
@@ -31,21 +31,33 @@ class EnsembleFTS(fts.FTS):
         self.alpha = kwargs.get("alpha", 0.05)
         self.point_method = kwargs.get('point_method', 'mean')
         self.interval_method = kwargs.get('interval_method', 'quantile')
+        self.order = 1
 
     def append_model(self, model):
         self.models.append(model)
         if model.order > self.order:
             self.order = model.order
 
+        if model.is_multivariate:
+            self.is_multivariate = True
+
+        if model.has_seasonality:
+            self.has_seasonality = True
+
+
     def train(self, data, **kwargs):
         pass
 
     def get_models_forecasts(self,data):
         tmp = []
         for model in self.models:
-            if self.is_multivariate or self.has_seasonality:
+            if model.is_multivariate or model.has_seasonality:
                 forecast = model.forecast(data)
             else:
+
+                if isinstance(data, pd.DataFrame) and self.indexer is not None:
+                    data = self.indexer.get_data(data)
+
                 sample = data[-model.order:]
                 forecast = model.forecast(sample)
                 if isinstance(forecast, (list,np.ndarray)) and len(forecast) > 0: