The AI platform collects anonymized usage data from sensors placed throughout your home, including electricity consumption by circuit, solar generation output, battery state of charge, and ambient temperature readings. Over a period of two to four weeks, the system builds a baseline profile of your household routines.
It then cross-references this profile with local weather forecasts, electricity rate schedules, and historical solar irradiance data for your postal code. The result is a predictive model that automatically shifts energy loads to cheaper or self-generated periods, pre-charges batteries ahead of peak rate windows, and reduces waste.
Our optimization service recalibrates this model during each maintenance visit to account for seasonal changes, new appliances, or shifts in your daily schedule.