diff --git a/run_bnn.py b/run_bnn.py
index 7667b027a4293a611a45355be635435e3fb0f3b1..f1ed70ab3719ec00ce975b199d7b40798261c9cb 100644
--- a/run_bnn.py
+++ b/run_bnn.py
@@ -33,6 +33,16 @@ def main(parser_args):
     stats_per_var = {'o3': 'dma8eu', 'relhum': 'average_values', 'temp': 'maximum', 'u': 'average_values',
      'v': 'average_values', 'no': 'dma8eu', 'no2': 'dma8eu', 'cloudcover': 'average_values',
      'pblheight': 'maximum'}
+    transformation = {'o3': {'method': 'standardise'},
+                      'relhum': {'method': 'min_max'},
+                      'temp': {'method': 'standardise'},
+                      'u': {'method': 'standardise'},
+                      'v': {'method': 'standardise'},
+                      'no': {'method': 'standardise'},
+                      'no2': {'method': 'standardise'},
+                      'cloudcover': {'method': 'min_max'},
+                      'pblheight': {'method': 'standardise'}
+                      }
     workflow = DefaultWorkflow(  # stations=load_stations(),
         #stations=["DEBW087","DEBW013", "DEBW107",  "DEBW076"],
         stations=load_stations(2),
@@ -41,6 +51,7 @@ def main(parser_args):
         window_history_size=6,
         epochs=100,
         batch_size=1024,
+        transformation=transformation,
         train_model=False, create_new_model=True, network="UBA",
         evaluate_feature_importance=False,  # plot_list=["PlotCompetitiveSkillScore"],
         # competitors=["test_model", "test_model2"],