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Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency

Author(s): Al-Bazzaz H; Azam M; Amayri M; Bouguila N;

Smart meter datasets have recently transitioned from monthly intervals to one-second granularity, yielding invaluable insights for diverse metering functions. Clustering analysis, a fundamental data mining technique, is extensively applied to discern unique energy consumption patterns. However, the advent of high-resolution smart meter data brings forth f ...

Article GUID: 37837127


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