diff --git a/apps/meters_to_ha/meters_to_ha.py b/apps/meters_to_ha/meters_to_ha.py
index d9284bf..8e48c30 100755
--- a/apps/meters_to_ha/meters_to_ha.py
+++ b/apps/meters_to_ha/meters_to_ha.py
@@ -1662,8 +1662,8 @@ def get_veolia_idf_file(self):
                 r"//span["
                 r"contains(text(), 'Alertes de consommation')"
                 + r" or contains(text(), 'Contrats')"
-                + r" or contains(text(), 'consulter l\'historique')"
-                + r' or contains(translate(text(), "CLH", "clh"), "consulter l\'historique")' 
+                + r" or contains(text(), 'consulter l')"
+                + r' or contains(translate(text(), "CLH", "clh"), "consulter l")' 
                 + r"]",
             )
         )
@@ -2613,7 +2613,6 @@ def parse_veolia_historical_data(self, csv_file, website):
 
             # Remove the first row (header) from the list that is not useful
             rows = rows[1:]
-            last_total = 0
 
             # Set date format for service (IDF || service.eau.veolia.fr)
             if website == SERVICE_EAU_VEOLIA_FR:
@@ -2624,10 +2623,8 @@ def parse_veolia_historical_data(self, csv_file, website):
             for row in rows:
                 method = row[3]  # "Mesuré" or "Estimé"
                 if method in ("E", "Estimé"):
-                    # Ignore estimated index (we use the last total)
-                    meter_total = last_total + int(row[2])
-                else:
-                    meter_total = int(row[1]) + int(row[2])
+                    # Ignore estimated values
+                    continue
 
                 date_obj = dt.datetime.strptime(row[0], date_format)
 
@@ -2640,11 +2637,10 @@ def parse_veolia_historical_data(self, csv_file, website):
                 stat = {
                     "start": date_formatted,  # formatted date
                     "state": int(row[2]),
-                    "sum": meter_total,
+                    "sum": int(row[1])
                 }
                 # Add the stat to the array
                 stats_array.append(stat)
-                last_total = meter_total
 
         self.mylog(st="OK")
         return stats_array
@@ -3086,19 +3082,51 @@ def sanity_check(self):
                 )
 
     def update_veolia_historical_data(self, stats_array):
-        # Prepare the statistics that need to be sent
+        # Prepare the statistics that need to be sent for _period_total
+
+        total_stats = [
+                {"start": stat["start"], "state": stat["sum"]}
+                for stat in stats_array
+        ]
         data = {
             "has_mean": False,
-            "has_sum": True,
+            "has_sum": False,
             "statistic_id": (
                 "sensor.veolia_%s_total"
                 % self.configuration[PARAM_VEOLIA_CONTRACT]
             ),
             "unit_of_measurement": "L",
             "source": "recorder",
-            "stats": stats_array,
+            "stats": total_stats,
         }
-        self.mylog("Publish all the historical data in the statistics")
+
+        self.mylog(f"Publish all the historical data in the statistics of _total sensor : {total_stats}")
+        self.open_url(HA_API_STATISTICS, data)
+        self.mylog(st="OK")
+
+        # Prepare the statistics that need to be sent
+        period_stats = [
+                {
+                    "start": stat["start"],
+                    "state": stat["state"],
+                    "mean": stat["state"],
+                    "min": stat["state"],
+                    "max": stat["state"]
+                }
+                for stat in stats_array
+        ]
+        data = {
+            "has_mean": True,
+            "has_sum": False,
+            "statistic_id": (
+                "sensor.veolia_%s_period_total"
+                % self.configuration[PARAM_VEOLIA_CONTRACT]
+            ),
+            "unit_of_measurement": "L",
+            "source": "recorder",
+            "stats": period_stats,
+        }
+        self.mylog(f"Publish all the historical data in the statistics of _period_total sensor : {period_stats}")
         self.open_url(HA_API_STATISTICS, data)
         self.mylog(st="OK")