Energy dashboard: Document required parameter and references to SML and image recognition data sources to energy documentation (#24800)

Co-authored-by: Franck Nijhof <frenck@frenck.nl>
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Sebastian Nohn 2023-01-17 15:46:38 +01:00 committed by GitHub
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@ -45,6 +45,10 @@ We have developed [Home Assistant Glow](https://github.com/klaasnicolaas/home-as
![Photo of Home Assistant Glow attached to an electricity meter](/images/docs/energy/home-assistant-glow.jpg) ![Photo of Home Assistant Glow attached to an electricity meter](/images/docs/energy/home-assistant-glow.jpg)
#### Using (Smart Message Language) interface
In countries like Germany, SML (Smart Message Language) is used typically. ESPHome's [SML (Smart Message Language)](https://esphome.io/components/sml.html) is one way to integrate it. If you prefer to integrate it via MQTT, [sml2mqtt](https://github.com/spacemanspiff2007/sml2mqtt) is another open source option.
#### Read the meter using an AI-on-the-edge-device #### Read the meter using an AI-on-the-edge-device
[AI-on-the-edge-device](https://github.com/jomjol/AI-on-the-edge-device) is a project running on an ESP32-CAM and can be fully integrated into Home Assistant using the Home Assistant discovery functionality of MQTT. It digitalizes your gas/water/electricity meter display and provides its data in various ways. [AI-on-the-edge-device](https://github.com/jomjol/AI-on-the-edge-device) is a project running on an ESP32-CAM and can be fully integrated into Home Assistant using the Home Assistant discovery functionality of MQTT. It digitalizes your gas/water/electricity meter display and provides its data in various ways.
@ -65,6 +69,10 @@ _Attention! Installing CT clamp sensor devices requires opening your electrical
Some energy providers will provide you real-time information about your usage and have this data integrated into Home Assistant. Some energy providers will provide you real-time information about your usage and have this data integrated into Home Assistant.
### Manual Integration
If you manually integrate your sensors, for example, using the [MQTT](/integrations/mqtt) or [Template](/integrations/template) integrations: Make sure you set and provide the `device_class`, `state_class`, and `unit_of_measurement` for those sensors.
### Troubleshooting ### Troubleshooting
If you are unable to select your energy sensor in the grid consumption drop-down, make sure that its value is being recorded in the Recorder settings. If you are unable to select your energy sensor in the grid consumption drop-down, make sure that its value is being recorded in the Recorder settings.

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@ -26,9 +26,9 @@ Alternatively, the following shops sell ESPHome-based devices, that use a proxim
Maybe you like to build one yourself? Maybe you like to build one yourself?
- Pieter Brinkman has quite a [nice blog article on how to create your own water sensor](https://www.pieterbrinkman.com/2022/02/02/build-a-cheap-water-usage-sensor-using-esphome-home-assistant-and-a-proximity-sensor/) using ESPHome, or [build a water meter](https://www.ztatz.nl/p1-monitor-watermeter/) that works with the [P1 Monitor](/integrations/p1_monitor) integration. - Pieter Brinkman has quite a [nice blog article on how to create your own water sensor](https://www.pieterbrinkman.com/2022/02/02/build-a-cheap-water-usage-sensor-using-esphome-home-assistant-and-a-proximity-sensor/) using ESPHome, or [build a water meter](https://www.ztatz.nl/p1-monitor-watermeter/) that works with the [P1 Monitor](/integrations/p1_monitor) integration.
- [AI-on-the-edge-device](https://github.com/jomjol/AI-on-the-edge-device) is a project running on an ESP32-CAM and can be fully integrated into Home Assistant using the Home Assistant Discovery Functionality of MQTT. It digitalizes your gas/water/electricity meter display and provides its data in various ways. - [AI-on-the-edge-device](https://github.com/jomjol/AI-on-the-edge-device) is a project running on an ESP32-CAM and can be fully integrated into Home Assistant using the Home Assistant Discovery Functionality of MQTT. It digitalizes your gas/water/electricity meter display and provides its data in various ways.![Photo of the AI-on-the-edge-device Workflow](/images/docs/energy/ai-on-the-edge-device.jpg)
- [watermeter](https://github.com/nohn/watermeter) running classic OCR and statistical pattern recognition on any system supporting Docker
![Photo of the AI-on-the-edge-device Workflow](/images/docs/energy/ai-on-the-edge-device.jpg)
If you manually integrate your sensors, for example, using the [MQTT](/integrations/mqtt) or [RESTful](/integrations/rest) integrations: Make sure you set and provide the `device_class`, `state_class`, and `unit_of_measurement` for those sensors.
For any of the above-listed options, make sure it actually works with the type of water meter you have before getting one. For any of the above-listed options, make sure it actually works with the type of water meter you have before getting one.