diff --git a/pyforecaster/forecasting_models/neural_forecasters.py b/pyforecaster/forecasting_models/neural_forecasters.py
index 3f0610d..d899069 100644
--- a/pyforecaster/forecasting_models/neural_forecasters.py
+++ b/pyforecaster/forecasting_models/neural_forecasters.py
@@ -546,6 +546,7 @@ def iterate(x, y, opt_state, **objective_kwargs):
 
     def get_normalized_inputs(self, inputs):
         inputs = inputs.copy()
+        self.to_be_normalized = [c for c in inputs.columns if c not in self.unnormalized_inputs] if self.unnormalized_inputs is not None else inputs.columns
         normalized_inputs = self.scaler.transform(inputs[self.to_be_normalized])
         inputs.loc[:, self.to_be_normalized] = normalized_inputs.copy().values