Utility monitoring and disaggregation systems and methods of use

This system identifies individual electrical devices within a monitored area by analyzing their unique electrical signatures from the overall power consumption. It works by extracting specific electrical patterns, like voltage and current waveforms, from the electricity data. By comparing these patterns to a known library, the system can determine which specific appliance is operating. The claims narrow this to specifically using conductance waveforms for identification.

Why it matters: Filed before modern machine learning and AI were widely applied to pattern recognition. The "disaggregation algorithm" and "library of waveforms" could now be built and maintained with far greater accuracy and automation using current AI techniques, making the system more robust and scalable.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedHigh-resolution sensors, signal processing software, waveform library.

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