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- .. _view_sensors:
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- Sensors
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- Each sensor also has its own page:
- .. image:: https://github.com/FlexMeasures/screenshots/raw/main/screenshot_sensor.png
- :align: center
- .. :scale: 40%
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- Next to line plots, data can sometimes be more usefully displayed as heatmaps.
- Heatmaps are great ways to spot the hotspots of activity. Usually heatmaps are actually geographical maps. In our context, the most interesting background is time ― so we'd like to see activity hotspots on a map of time intervals.
- We chose the "time map" of weekdays. From our experience, this is where you see the most interesting activity hotspots at a glance. For instance, that mornings often experience peaks. Or that Tuesday afternoons have low energy use, for some reason.
- Here is what it looks like for one week of temperature data:
- .. image:: https://github.com/FlexMeasures/screenshots/raw/main/heatmap-week-temperature.png
- :align: center
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- It's easy to see which days had milder temperatures.
- And here are 4 days of (dis)-charging patterns in Seita's V2GLiberty project:
- .. image:: https://github.com/FlexMeasures/screenshots/raw/main/heatmap-week-charging.png
- :align: center
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- Charging (blue) mostly happens in sunshine hours, discharging during high-price hours (morning & evening)
- So on a technical level, the daily heatmap is essentially a heatmap of the sensor's values, with dates on the y-axis and time of day on the x-axis. For individual devices, it gives an insight into the device's running times. A new button lets users switch between charts.
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