Power Quality Monitoring with Edge AI

Monitoring electrical current and voltage waveforms to detect anomalies in power distribution systems. Identifies power surges, harmonics, phase imbalances, and degradation patterns using lightweight time-series models on current sensor data sampled via ADC. Deployed on MCUs connected to current transformers or Hall-effect sensors on electrical panels. Enables early detection of electrical faults before they cause equipment damage or safety hazards.

Hardware Requirements

Minimum RAM 32 KB
Minimum Flash 256 KB
Sensor Inputs current
Typical Model Size 15 KB (quantized int8)
Minimum Clock 48 MHz

Hardware Guides

No hardware guides for power quality monitoring yet. Use the MCU Checker to find compatible hardware.

Industry Applications

Energy Manufacturing Building Automation Utilities

Build Power Quality Monitoring with ForestHub

ForestHub compiles visual AI workflows to C code for your microcontroller. Choose your hardware, build your power quality monitoring pipeline, deploy in minutes.