diff --git a/source/_integrations/solaredge_modules.markdown b/source/_integrations/solaredge_modules.markdown
index 89ccbeed812..7edda4f7797 100644
--- a/source/_integrations/solaredge_modules.markdown
+++ b/source/_integrations/solaredge_modules.markdown
@@ -27,6 +27,109 @@ To set up the integration, you need a username and password with access to the [
 
 {% include integrations/config_flow.md %}
 
+## Examples
+
+### Statistics graph
+
+An example of a Statistics graph that shows hourly production per module for the past 7 days.
+
+![Screenshot hourly production Statistics graph](/images/integrations/solaredge_modules/hourly_production.png)
+
+```yaml
+chart_type: line
+period: hour
+type: statistics-graph
+entities:
+  - solaredge_modules:1234567_100000001
+  - solaredge_modules:1234567_100000002
+  - solaredge_modules:1234567_100000003
+  - solaredge_modules:1234567_100000004
+stat_types:
+  - change
+days_to_show: 7
+title: Hourly production per module on east side
+```
+
+Another example of a Statistics graph that shows daily production per module for the past 7 days.
+It's easier here to identify any problematic modules.
+
+![Screenshot daily production Statistics graph](/images/integrations/solaredge_modules/daily_production.png)
+
+```yaml
+chart_type: line
+period: day
+type: statistics-graph
+entities:
+  - solaredge_modules:1234567_100000001
+  - solaredge_modules:1234567_100000002
+  - solaredge_modules:1234567_100000003
+  - solaredge_modules:1234567_100000004
+stat_types:
+  - change
+title: Daily production per module on east side
+days_to_show: 30
+```
+### SQL
+
+To identify problematic modules you could setup the [`SQL`](/integrations/sql/) integration with the following:
+
+Name: SolarEdge low production modules (East)
+
+Column: `problematic_modules`
+
+Query:
+
+```sql
+SELECT * FROM (
+WITH RelevantTimeRange AS (
+    -- Define the start and end timestamps for "past 7 days, ignoring today"
+    -- start_ts is inclusive, end_ts is exclusive
+    SELECT
+        strftime('%s', date('now', 'localtime', 'start of day', '-7 days')) AS period_start_ts,
+        strftime('%s', date('now', 'localtime', 'start of day')) AS period_end_ts
+),
+ModuleProduction AS (
+    -- Calculate total production for each module in the relevant time period
+    SELECT
+        sm.name,
+        SUM(s.state) AS total_production
+    FROM statistics s
+    JOIN statistics_meta sm ON s.metadata_id = sm.id
+    CROSS JOIN RelevantTimeRange rt
+    WHERE
+        sm.source = 'solaredge_modules'
+        -- TODO: Adjust this to match your setup
+        AND sm.name LIKE '% 1.1.%'
+        AND s.start_ts >= rt.period_start_ts
+        AND s.start_ts < rt.period_end_ts
+        AND s.state IS NOT NULL
+    GROUP BY
+        sm.name
+),
+AverageProduction AS (
+    -- Calculate the average production across all modules that produced something
+    SELECT
+        AVG(mp.total_production) AS average_total_production
+    FROM ModuleProduction mp
+    WHERE total_production > 0
+)
+SELECT
+    GROUP_CONCAT(
+        mp.name || ' (' || printf("%.1f", (mp.total_production * 100.0 / ap.average_total_production)) || '%)',
+        ', '
+    ) AS problematic_modules
+FROM
+    ModuleProduction mp, AverageProduction ap -- Implicit cross join, AP will have 1 row
+WHERE
+    -- TODO: Adjust the 96% threshold if needed
+    mp.total_production < (0.96 * ap.average_total_production)
+    AND ap.average_total_production > 0 -- Avoid division by zero if no production at all
+)
+```
+
+This will result to a sensor with state e.g.: `SolarEdge 1.1.13 (95.7%), SolarEdge 1.1.14 (95.2%)`
+You can use this sensor in automations, e.g to notify you if its value changes.
+
 ## Removing the integration
 
 {% include integrations/remove_device_service.md %}
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