Abstract: Nonintrusive load monitoring (NILM) can effectively evaluate and track fine-grained energy consumption at the appliance level by using instruments or devices such as smart meters, providing ...
Abstract: The K-nearest neighbors (kNNs) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...
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