2021
DOI: 10.48550/arxiv.2109.13732
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IRMAC: Interpretable Refined Motifs and Binary Classification for Rooftops PV Owners

Abstract: In this paper, we seek to identify residential rooftop solar PV owners using imported energy data. To solve this problem with an interpretable, fast, secure, and maintainable solution, we propose Interpretable Refined Motifs And binary Classification (IRMAC) method, which includes a shape-based dimensionality reduction technique we call Refined Motif (RM), and a classification technique with linear complexity to identify solar owners. Furthermore, with the real data from Australia and Denmark, the proposed met… Show more

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