oh and I forgot about this thread, but for those interested, I have figured out a basic dashboard in grafana which is discussed in this thread. I have included a link to a blogpost on it and the json to import the dashboard into your own grafana instance.
Hope it helps someone 
It sure does! Thanks!
And the docs for the utility meter component have just been updated to reflect DSMR specific setup: https://www.home-assistant.io/components/utility_meter/
Totally forgot this thread, I solved my issues using the “last” instead of “mean” value in the grafana query. Now I have exact values in my graphs for everyday/week or whatever consumption
Also I have singlestat meters that reset for every day using “difference” and “last” also
Mabye it helps someone
Although the utility-meter seems nice I prefer to have it in a grafana-dashboard
Looks awesome! Could you share your dashboard’s JSON?
Hi, I’m a new influxdb/grafana user. I setup daily bar graph for energy consumption and i noticed that bars are resetting at utc time an not at local 00:00. How did you manage this issue (if you did it)?
Hi,
This seems to be a common problem. Even called a bug by a few. I managed to solve it way back. I cant remember the exact thread but this one is pretty close, take a look: https://community.grafana.com/t/wrong-value-in-graph-with-bars/1306/36
Hope it helps
Ok, i solved daily bar charts adding GROUP BY “time(24h,22h)”, but i have no idea how to have a monthly bar chart… I think that a GROUP BY “time(30d)” doesn’t do the job…
Do you use monthly bars? How?
So I use a GROUP BY 1D. if I set it to 30D it looks mostly right, but not every month is 30 days and when I was trying i couldn’t find a good way to do months.
This is my kWh per day (just change the 1d to 30d). I am coming from an IoTWatt on this counter, but also convert stuff from AEOTEC devices as well as Tasmota flashed devices.
SELECT integral("Watts",1000h) FROM "iotawatt" WHERE ("ct" = 'Main') AND $timeFilter GROUP BY time(1d) fill(null) tz('America/Los_Angeles')
Influx 1.x doesnt support grouping by month, I also use “30d” for the time being. However, influx 2.0 should have support for it. I havent dared to upgrade yet but its on my todo-list.
Grafana is great, the update to latest version gives you some new stuff also
Completely off topic but has anyone managed to upgrade their inflyx 1.x to 2.x? Doesnt seem to be so straigjt forward.
Or as a workaround. Is it possible to gran The data from The new enerfy dashboard to influx? That Would soöve The monthly bar problem Instead of using 30 days
Have been trying to do so, but if I follow: Upgrade from InfluxDB 1.x to 2.2 with Docker | InfluxDB OSS 2.2 Documentation then in the end I have no measurements in DB Home_assistant. There are however values in home_assistant autogen database, but I have some doubts whether that is my complete history…
Hi Mattie, do you maybe have the template or example how you created the energy monitor with Influx2 db? Another really nice dashboard would be Learn how to monitor your energy use at home with a Raspberry Pi, Grafana and Prometheus | Grafana Labs however I don’t think I have all the appropriate hardware. Would rather prefer InfluxDB and export specific entities.
Thanks in advance.
To compare the energy usage for multiple month over multiple years, I use this query in Grafana. I use MariaDB in Homeasssistant
SELECT substring(from_unixtime(statistics.created_ts),6, 2) AS month,
MAX(CASE WHEN (substring(from_unixtime(statistics.created_ts),1, 4)) = '2022' AND substring(from_unixtime(statistics.created_ts),12, 2) > 0 AND statistics.state >0 THEN statistics.state END) AS '2022',
MAX(CASE WHEN (substring(from_unixtime(statistics.created_ts),1, 4)) = '2023' AND substring(from_unixtime(statistics.created_ts),12, 2) > 0 THEN statistics.state END) AS '2023',
MAX(CASE WHEN (substring(from_unixtime(statistics.created_ts),1, 4)) = '2024' AND substring(from_unixtime(statistics.created_ts),12, 2) > 0 THEN statistics.state END) AS '2024'
from homeassistant.statistics
WHERE statistics.metadata_id = 112
GROUP BY month ORDER BY month;
