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Evidence of global relevance

IoT Monitoring System Development for Collecting Building Energy Consumption

An ESP32-SDM120-MQTT system deployed in eight Mae Ta Man homes achieved 90% average transmission success and identified phantom loads of 12-15% of daily use. Following feedback, peak use fell 14.8% and phantom waste 43.1%.

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Key findings

  • Latency was 8.32, 9.49 and 10.23 ms for QoS 0-2; peaks occurred at 08:00-10:00 and 18:00-20:00. Data loss reached 45% during congestion, while peak use fell 14.8% (95% CI 11.2-18.4) and phantom load 43.1%.
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Why this matters globally

A low-cost hybrid network may help rural communities visualise consumption and design demand response without continuous high-speed connectivity.

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Thai researcher contribution

The Thai team built and field-deployed the system in challenging terrain, linking engineering performance with household energy behaviour.

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Limitations to consider

Only eight uncontrolled homes were observed, follow-up detail is limited, and peak data loss reached 45%. Before-after changes are vulnerable to regression to the mean and time-varying confounding.

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Verify the original sources

PaperAsiaRead the original article

DOI: 10.59953/paperasia.v42i3b.391

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