diff --git a/etl/epc/Record.py b/etl/epc/Record.py
index 575a99ae..4aa14a4d 100644
--- a/etl/epc/Record.py
+++ b/etl/epc/Record.py
@@ -277,22 +277,6 @@ class EPCRecord:
 
         return
 
-    def _drop_features(self):
-        """
-        Drop features that are not needed for modelling
-        """
-        self.df = self.df.drop(
-            columns=["lodgement_date_starting", "lodgement_date_ending"]
-        )
-
-    def _feature_generation(self):
-        """
-        Generate features for modelling
-        """
-        self.df["days_to_lodgement_date"] = self._calculate_days_to(
-            self.prepared_epc["lodgement_date"]
-        )
-
     @staticmethod
     def _calculate_days_to(lodgement_date):
         if isinstance(lodgement_date, str):
@@ -387,44 +371,6 @@ class EPCRecord:
         same_index = df.apply(pd.Series.duplicated).any()
         self.prepared_epc_delta_metadata = df[same_index[~same_index].index]
 
-    def _expand_description_to_features(self):
-        pass
-
-    def _expand_description_to_uvalues(self):
-        # TODO: can be loop over all the descriptions, or done in one
-        pass
-
-    # def _process_and_prune(self, cleaned_lookup: dict):
-    #     """
-    #     This method will merge on the cleaned lookup table and ensure that the building fabric in the
-    #     starting and ending EPC is consistent, so ensure that we are performing our modelling on the cleanest
-    #     possible dataset.
-    #     """
-    #     for component in ["walls", "floor", "roof", "hotwater", "mainheat", "mainheatcont", "windows", "main-fuel"]:
-    #         if component == "main-fuel":
-    #             component = component.replace("-", "_")
-    #         cleaned_key = "main-fuel" if component == "main-fuel" else f"{component}-description"
-    #         left_on_starting = (
-    #             f"{component}_starting" if component == "main-fuel" else f"{component}_description_starting"
-    #         )
-
-    #         left_on_ending = (
-    #             f"{component}_ending" if component == "main-fuel" else f"{component}_description_ending"
-    #         )
-
-    #         self.df2 = self.df.merge(
-    #             pd.DataFrame(cleaned_lookup[cleaned_key]),
-    #             how="left",
-    #             left_on=left_on_starting,
-    #             right_on="original_description",
-    #         ).merge(
-    #             pd.DataFrame(cleaned_lookup[cleaned_key]),
-    #             how="left",
-    #             left_on=left_on_ending,
-    #             right_on="original_description",
-    #             suffixes=("", "_ending")
-    #         )
-
     def _clean_records_using_epc_records(self):
         """
         This method will clean the records