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Permutation test and bootstrap methods for unsupervised detection and estimation of behind‐the‐meter photovoltaic generation

Abstract The penetration of unmonitored behind‐the‐meter photovoltaic systems has increased rapidly over the past decade. While unsupervised methods have been proposed to estimate behind‐the‐meter photovoltaic generation, their performance is significantly affected by hyperparameters. Existing metho...

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Autori principali: Chao Liu, Jing Shi, Hongkun Chen, Lei Chen, Guocheng Li
Natura: Artigo
Lingua:Inglês
Pubblicazione: Wiley 2021-05-01
Serie:IET Renewable Power Generation
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Accesso online:https://doi.org/10.1049/rpg2.12067
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