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Overview
Load disaggregation is the process of breaking down the total energy consumption signal into its individual appliance-level components. It aims to determine which devices are running using patterns from a single measurement point, like a household's smart meter.
The machine learning-based load disaggregation solution for smart metering applications showcases an efficient implementation of load disaggregation on an embedded microcontroller, achieving the desired functionality with minimal CPU time and memory usage. This represents a key value-add for designers seeking optimal performance from our system-on-chip solutions for smart E-Metering applications. Discover more below.
