Smart Grid Power Monitoring & Anomaly Detection System using ESP32 & Cloud AI
IEEE 2026 Paper Aligned. Real-time voltage, current, power factor telemetry with edge anomaly detection and automated relay tripper.
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All engineering projects are custom fabricated to match your specific IEEE publication standards, academic department guidelines, and selected hardware/sensor stack. Request a custom quote to receive an itemized proposal, timeline, and deliverables list.
Project Technical Overview
Comprehensive industrial power telemetry solution featuring Non-Invasive ACS712 current sensors, ZMPT101B AC voltage transducers, ESP32 dual-core telemetry node, MQTT cloud protocol, and interactive Web Dashboard for load forecasting. ### Practical Student Engineering Solution Fully functional hardware demonstration prototype equipped with dedicated microcontrollers, precision sensors, actuators, and an interactive cloud/mobile telemetry dashboard. ### Key Learning Outcomes - Embedded C / MicroPython firmware architecture and sensor interfacing - IoT telemetry protocols (MQTT / HTTP / BLE / LoRaWAN) - Power regulation, hardware debugging, and PCB design principles - Comprehensive technical documentation aligned with IEEE academic standards
Read the foundational IEEE conference research paper, citations, and algorithmic architecture for this project.