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.
Project 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
Modern commercial and industrial infrastructure requires automated, real-time sensing and telemetry. Conventional manual monitoring suffers from high latency, human error, and lack of predictive fault visibility for Smart Grid Power Monitoring & Anomaly Detection System using ESP32 & Cloud AI.
A turnkey engineering prototype integrating high-precision sensor modules, dedicated microcontroller unit, and cloud telemetry protocols to automate measurement, trigger alert thresholds, and provide remote dashboard control.