Data And Insights For Managing A More Complex Grid
Sampling electrical signals up to 1 MHz and leveraging edge computing, Sense is processing almost one billion times more data than first-generation smart meters. This enables Sense to detect devices in the home as well as see anomalies on the grid.
Sense Core
Sense uses machine learning to identify the unique signature of electrical devices in the home, determine their state and energy usage, and track performance and failure signals.
Sense already has the most high-resolution grid-edge data in the world – over 700 million hours across 4 million devices, including ground truth from 1 million user labels. We continue to leverage the latest AI advancements to build a library of device signatures. As Sense collects data in more homes, and samples a diverse range of devices and appliances, the library grows.
High-resolution Data
Small loads powered by AC/DC converters and an increasing number of inverter-based loads, such as heat pumps, EV chargers and rooftop solar, generate high-frequency noise that not only makes device detection difficult but can also impact grid operations. Sense’s high-resolution data enables us to distinguish between the noise and the actual signatures of devices.
Grid-edge Processing
Localized computing in smart phone devices made apps like Google Maps possible – transforming both consumer expectations and mobility. Grid-edge processing enables Sense to do the same – delivering the first consumer real-time energy experience.
Unlike first-generation meters which were limited by low-resolution data, high-latency networks and cloud-based architecture, Sense-enabled meters have significant embedded compute power. This enables us to process high-resolution data and provide insights through Wi-Fi or cellular networks directly with both consumers and utilities in real-time.
Smart Meters
Sense is working with leading smart meter manufacturers to embed Sense technology into next-generation smart meters. This places our technology in a unique position; building a bridge between people and the grid.
Sense-enabled meters deployed at scale across millions of homes, gives utilities visibility into the entire grid without the need for additional hardware.