What it is
Sense is a home energy monitoring system that installs in your electrical panel and uses machine learning to identify individual device power signatures. Two current sensors clamp around the mains, and the Sense monitor samples the electrical signal 1 million times per second to detect when specific devices turn on and off. The app shows real-time whole-home consumption, individual device usage, and historical trends. Solar production monitoring is available with additional CT clamps.
Why we picked this
You cannot reduce what you cannot measure, and most households have no idea where their electricity goes. Sense provides that visibility at the device level, not just the whole-home level. The machine learning detection is what sets it apart: after a few weeks of training, it identifies your fridge, dryer, oven, HVAC, and other major loads individually. Users consistently report finding 'always-on' devices pulling phantom loads they did not know about. The average user reduces electricity consumption by 5 to 10% simply from awareness.
Key takeaways
- Sense samples electrical signals at 1 million times per second, using machine learning to identify individual device power signatures from whole-home data.
- Users report average electricity savings of 5 to 10% after installation, primarily from identifying and eliminating phantom loads and inefficient devices.
- The app's 'always on' metric tracks devices pulling continuous standby power, which typically accounts for 5 to 10% of residential electricity bills.