diff --git a/imports/customized_imports/stochastic_schedules_importer.py b/imports/customized_imports/stochastic_schedules_importer.py
index 2832bf61..1e99e63e 100644
--- a/imports/customized_imports/stochastic_schedules_importer.py
+++ b/imports/customized_imports/stochastic_schedules_importer.py
@@ -28,9 +28,9 @@ class StochasticSchedulesImporter:
     Returns the city with the usage parameters assigned to the buildings
     :return:
     """
-    _daily_schedules = pd.read_excel(self._xls, nrows=261, usecols="A:Y")
+    _daily_schedules = pd.read_excel(self._xls, nrows=365, usecols="A:Y")
     year = []
-    for day in range(1, 262):
+    for day in range(1, 366):
       values = _daily_schedules.iloc[day-1][1:].to_numpy()
       year.extend(values)
     schedule = Schedule()
diff --git a/scripts/ep_workflow.py b/scripts/ep_workflow.py
index 47e5c470..5d13f0bc 100644
--- a/scripts/ep_workflow.py
+++ b/scripts/ep_workflow.py
@@ -32,10 +32,6 @@ try:
   ConstructionFactory('nrel', city).enrich()
   print('enrich constructions... done')
   UsageFactory('comnet', city).enrich()
-  for building in city.buildings:
-    for internal_zone in building.internal_zones:
-      for usage_zone in internal_zone.usage_zones:
-        print(usage_zone.occupancy.occupancy_schedules)
   print('enrich usage... done')
   in_path = (Path(__file__).parent.parent / 'data' / 'occupancyschedules_2019_point4.xlsx')
   CustomizedImportsFactory(ssi, city, in_path).enrich()