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EXPERIMENTAL ACCURACY OF NILM LOAD DISAGGREGATION ON THREE-PHASE MICROGRID TEST BED

Chrise, Joseph D.
Calhoun · Papers
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clusteringenergy-efficiency
Non-intrusive load monitoring (NILM) is a powerful tool that uses machine learning and special sensors to disaggregate large amounts of electrical data from a single central point of a power system. This service provides valuable insight into the system, allowing for anomaly detection and improvemen
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