diff --git a/bpeng/mv/measurementVerification.py b/bpeng/mv/measurementVerification.py
index 1854370a8d11ce022625d20d28318101f73ffbdd..4d43b24f40b351ea19df92f431321fff4370aa01 100644
--- a/bpeng/mv/measurementVerification.py
+++ b/bpeng/mv/measurementVerification.py
@@ -57,6 +57,7 @@ class MeasurementVerification():
         self.first_year_saving = None
         self.projection_baseline_bill = None
         self.setpoints = {}
+        self.missingBillsPreRetrofit = False
         #self.non_weather_related_end_uses = {'Miscellanous': 1}
 
 
@@ -404,40 +405,41 @@ class MeasurementVerification():
 
         # raw bill of pre-retrofit period
         self.pre_bill = pre_bill
-        assert sum(pre_bill['Days In Bill']) > 365, 'Utility Data is less than 12 months pre-retrofit.'
-
-        # baseline bill
-        self.baseline = self.baseline_bill(pre_bill)
-
-        # post_retrofit_bill - simple breakdown the post retrofit bill incase it is too long
-        self.post_bill = BreakdownLongBill(post_bill, self.weather).long_bill_breakdown()
-
-        # calcuate the all prejected baseline for all the post retrofit billing period
-        post = projection_baseline(self.baseline, self.post_bill, self.weather)
-        self.projection_post_bill = post.projection()
-
-        self.setpoints = {'heating': post.hp,
-                          'cooling': post.cp}
-
-        if self.setpoints['cooling'] is np.NaN:
-            self.setpoints['cooling'] = None
-        if self.setpoints['heating'] is np.NaN:
-            self.setpoints['heating'] = None
-
-        # calculate the projected baseline for baseline period
-        baseline_usage_baseline_period = projection_baseline(self.baseline, self.baseline, self.weather)
-        self.projection_baseline_bill = baseline_usage_baseline_period.projection()
-
-        # calculate the projected baseline for reporting period
-        self.reporting = self.reporting_bill(self.post_bill)
-        report = projection_baseline(self.baseline, self.reporting, self.weather)
-        self.projection_reporting_bill = report.projection()
-        self.regression_stat = report.regression_stat
-        self.first_year_saving = MeasurementVerification.energy_savings(self.projection_reporting_bill)
-        self.first_year_saving['baseline_metered_energy_usage'] = sum(self.baseline['Usage'])
-        self.first_year_saving['baseline_from_date'] = self.baseline['Bill From Date'].iloc[0]
-        self.first_year_saving['baseline_end_date'] = self.baseline['Bill To Date'].iloc[-1]
-        # xx = self.plot_result(self.projection_baseline_bill, self.projection_reporting_bill)
+        if sum(pre_bill['Days In Bill']) < 365:
+            self.missingBillsPreRetrofit = True
+        else:
+            # baseline bill
+            self.baseline = self.baseline_bill(pre_bill)
+
+            # post_retrofit_bill - simple breakdown the post retrofit bill incase it is too long
+            self.post_bill = BreakdownLongBill(post_bill, self.weather).long_bill_breakdown()
+
+            # calcuate the all prejected baseline for all the post retrofit billing period
+            post = projection_baseline(self.baseline, self.post_bill, self.weather)
+            self.projection_post_bill = post.projection()
+
+            self.setpoints = {'heating': post.hp,
+                            'cooling': post.cp}
+
+            if self.setpoints['cooling'] is np.NaN:
+                self.setpoints['cooling'] = None
+            if self.setpoints['heating'] is np.NaN:
+                self.setpoints['heating'] = None
+
+            # calculate the projected baseline for baseline period
+            baseline_usage_baseline_period = projection_baseline(self.baseline, self.baseline, self.weather)
+            self.projection_baseline_bill = baseline_usage_baseline_period.projection()
+
+            # calculate the projected baseline for reporting period
+            self.reporting = self.reporting_bill(self.post_bill)
+            report = projection_baseline(self.baseline, self.reporting, self.weather)
+            self.projection_reporting_bill = report.projection()
+            self.regression_stat = report.regression_stat
+            self.first_year_saving = MeasurementVerification.energy_savings(self.projection_reporting_bill)
+            self.first_year_saving['baseline_metered_energy_usage'] = sum(self.baseline['Usage'])
+            self.first_year_saving['baseline_from_date'] = self.baseline['Bill From Date'].iloc[0]
+            self.first_year_saving['baseline_end_date'] = self.baseline['Bill To Date'].iloc[-1]
+            # xx = self.plot_result(self.projection_baseline_bill, self.projection_reporting_bill)
 
     @staticmethod
     def energy_savings(bill_with_baseline):