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@@ -10,7 +10,9 @@ layout: base.njk
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<p>Power monitoring across the flat runs on a mix of Tasmota-flashed smart
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plugs, tracking accumulated kWh per device and feeding daily usage
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figures into the home dashboard.</p>
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figures into the home dashboard. The setup uses 8 Tasmota-enabled devices
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covering kitchen appliances, office equipment, entertainment systems,
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and LED matrix displays.</p>
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<h2>What's metered</h2>
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<table>
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@@ -35,11 +37,30 @@ well-documented community process. It occasionally fails on the first
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attempt due to a transient Wi-Fi handshake issue — retrying resolves it
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without any special handling.</p>
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<h2>How the data flows</h2>
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<p>Each Tasmota plug publishes its power readings to MQTT via the
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Mosquitto broker running on the Docker host. A small subscription
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service picks up the per-device topics and writes the values into
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InfluxDB 2.x, tagged by device name, room, and measurement type
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(power, energy, voltage). The home dashboard then queries InfluxDB
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via Flux to display real-time and historical usage charts.</p>
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<h2>What this data is used for</h2>
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<ul>
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<li>Spotting appliances with unexpectedly high standby draw.</li>
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<li>Sanity-checking that "turned off" devices are actually drawing near-zero power.</li>
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<li>Feeding the home dashboard's live power figures alongside the climate sensors.</li>
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<li>Tracking long-term energy trends to identify efficiency improvements.</li>
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<li>Alerting when a device draws significantly more than its baseline (e.g., a failing appliance).</li>
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</ul>
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<h2>Why Tasmota over alternatives</h2>
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<p>Tasmota was chosen over alternatives like ESPHome or Tuya firmware for
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several reasons. The local-only control means no cloud dependency — the
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plugs work even if the internet is down. The MQTT integration is mature
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and well-documented. The energy monitoring sensors are accurate enough
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for home use (typically within 5% of a dedicated energy meter). And the
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firmware supports a wide range of hardware, making it easy to find
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compatible plugs at reasonable prices.</p>
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</div>
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