diff --git a/urbanopt_des/urbanopt_analysis.py b/urbanopt_des/urbanopt_analysis.py
index e56d7e5..108d16a 100644
--- a/urbanopt_des/urbanopt_analysis.py
+++ b/urbanopt_des/urbanopt_analysis.py
@@ -275,8 +275,6 @@ def resample_actual_data(self) -> None:
         for building_id in self.geojson.get_building_ids():
             meters = self.geojson.get_meters_for_building(building_id)
             for meter in meters:
-                # print(f"Processing meter {meter} for building {building_id}")
-
                 meter_readings = self.geojson.get_meter_readings_for_building(building_id, meter)
                 # add the meter_type to all the json objects
                 [meter_reading.update({"meter_type": meter, "building_id": building_id}) for meter_reading in meter_readings]
diff --git a/urbanopt_des/urbanopt_geojson.py b/urbanopt_des/urbanopt_geojson.py
index 8a3243c..cf95f9f 100644
--- a/urbanopt_des/urbanopt_geojson.py
+++ b/urbanopt_des/urbanopt_geojson.py
@@ -8,8 +8,8 @@
 
 
 class DESGeoJSON(UrbanOptGeoJson):
-    def __init__(self, filename: Path):
-        super().__init__(filename)
+    def __init__(self, filename: Path, building_ids=None, skip_validation=False):
+        super().__init__(filename, building_ids, skip_validation)
 
     def create_aggregated_representation(self, building_names: list[str]) -> None:
         """Go through the GeoJSON file and if it is of type Building, then aggregate the characteristics.