This project will help address the challenge of identifying loads within the long tail of consumption by integrating the previously developed PowerBlade wireless AC plug-through meters to measure real, reactive, and apparent power with load monitoring based on extracting high-fidelity electrical waveform features to capture power profiles and automatically identify and categorize MELs in a scalable manner.
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