@@ -1930,6 +1930,8 @@ def import_rate_color(rate):
         raw_plan["timestamp"] = self.now_utc_real.isoformat()
 
         if publish:
+            # The live plan is republished on every re-plan; the web page's stale check reads this
+            raw_plan["refresh_minutes"] = self.calculate_plan_every
             self.dashboard_item(self.prefix + ".plan_html", state="", attributes={"text": self.text_plan, "html": html, "raw": raw_plan, "friendly_name": "Plan in HTML", "icon": "mdi:web-box"})
 
         return html, raw_plan
@@ -3184,26 +3186,42 @@ def plan_row_holding_for_car(self, minute_start, minute_end, car_hold_minutes=No
             held = sum(PREDICT_STEP for minute in range(minute_start, minute_end, PREDICT_STEP) if (minute - self.minutes_now) in self.predict_car_hold_best)
         return held * 2 >= minute_end - minute_start
 
+    def history_slot(self, when):
+        """Which plan slot the plan history rebuild at when counts towards, as (date, slot number from midnight).
+
+        Slots are plan_interval_minutes long, shifted one run (PREDICT_STEP) later: the run at a slot boundary
+        writes predbat.cost_today seconds before calculate_yesterday() reads its history back from Home
+        Assistant, so the slot just finished is rebuilt on the next run, once that value is recorded. This only
+        helps when that next run re-plans; with calculate_plan_every at or above the slot length, re-plans can
+        fall on boundaries and the rebuild then happens there.
+        """
+        when = when - timedelta(minutes=PREDICT_STEP)
+        return when.date(), (when.hour * 60 + when.minute) // self.plan_interval_minutes
+
+    def history_refresh_minutes(self):
+        """The longest the plan history should go between rebuilds: a slot, the run it waits, and up to one re-plan interval."""
+        return self.plan_interval_minutes + PREDICT_STEP + self.calculate_plan_every
+
     def calculate_yesterday(self):
         """
         Calculate the base plan for yesterday
         """
 
-        # Check  savings_last_updated timestamp, we don't need to re-compute this one every iteration, once an hour or when the day rolls over is enough
-        if self.savings_last_updated:
-            # savings_last_update is a timestamp object, compare age and date
-            age = self.now_utc - self.savings_last_updated
-            if age < timedelta(minutes=59) and self.savings_last_updated.date() == self.now_utc.date():
-                # Less than an hour old and already updated today
-                return
+        # Recompute once per completed plan slot rather than every iteration: the plan history (the web page's
+        # History view) shows each slot from what actually happened, so rebuilding as soon as a slot ends keeps the
+        # last finished slot on show - the live Plan view starts at the current slot, so an hourly rebuild left the
+        # slots since it in neither view. A day rolling over is a new slot too. Each rebuild takes under a second,
+        # and it waits one run past the boundary (see history_slot) so the boundary run's own writes are recorded.
+        if self.savings_last_updated and self.history_slot(self.savings_last_updated) == self.history_slot(self.now_utc):
+            return
 
         # Everything below is anchored on yesterday's recorded cost, so fetch that before doing any of
         # the expensive work - when Home Assistant isn't recording predbat.cost_today there is nothing
         # to compute and the step data and rate scans below would only be thrown away again
         cost_today_data = self.get_history_wrapper(entity_id=self.prefix + ".cost_today", days=2, required=False)
         if not cost_today_data:
             self.log("Warn: Calculate yesterday: No history for {}.cost_today, so the savings and plan history can not be computed - check that Home Assistant is recording this entity (see the recorder notes in the FAQ)".format(self.prefix))
-            # Record the attempt so this is retried on the normal hourly cadence rather than every cycle
+            # Record the attempt so this is retried in the next slot rather than every cycle
             self.savings_last_updated = self.now_utc
             return
 
@@ -3247,7 +3265,7 @@ def calculate_yesterday(self):
         # Assume user might charge at the lowest rate only, for fixed tariff
         # Only use yesterday's rate range (k < end_record) for the threshold to prevent today's rates
         # (which are added progressively as minutes_now increases) from changing the baseline charge
-        # windows on each hourly recalculation and causing savings_yesterday to fluctuate.
+        # windows on each recalculation and causing savings_yesterday to fluctuate.
         charge_window_best = []
         rate_low = self.compute_rate_low_for_yesterday(past_rates, end_record)
         combine_charge = self.combine_charge_slots
@@ -3438,6 +3456,7 @@ def calculate_yesterday(self):
         self.export_limits_best = []
         self.export_window_best = []
         plan_html_baseline, plan_json_baseline = self.plan_write_debug(True, None, yesterday_pv_step, yesterday_pv_step, yesterday_load_step, yesterday_load_step, end_record, prediction=self.prediction)
+        plan_json_baseline["refresh_minutes"] = self.history_refresh_minutes()
 
         # Now try to show what really happened yesterday
         self.charge_limit_best = []
@@ -3568,6 +3587,7 @@ def calculate_yesterday(self):
         plan_html_yesterday, plan_json_yesterday = self.publish_html_plan(
             yesterday_pv_step, yesterday_pv_step, yesterday_load_step, yesterday_load_step, end_record + minutes_now, publish=False, prediction=self.prediction, car_hold_minutes=car_hold_minutes
         )
+        plan_json_yesterday["refresh_minutes"] = self.history_refresh_minutes()
         self.forecast_minutes = end_record
 
         # Restore state