ElectroTune

ElectroTune is a web + desktop dashboard that helps hydrogen producers reduce electricity cost per kg by optimizing how electrolyzers are dispatched against volatile power prices and operating constraints. It ingests time-series data (power price, renewable forecast, electrolyzer limits, stack health proxies, storage levels) and produces an hour-by-hour run plan plus setpoint recommendations (load, ramp rates, standby decisions). The AI layer focuses on forecasting and anomaly detection, but the core value is a transparent, constraint-based optimizer that operators can trust and override. It also generates post-run reports showing what the plan saved versus a baseline and flags when real operation deviated (and why). This is not a magic “autopilot”—it’s decision support that fits real plants where data is messy, constraints change daily, and operators need explainable recommendations.