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- W2936851271 abstract "In this paper, we present a distributed array processing algorithm to analyze the power output of solar photo-voltaic (PV) installations, leveraging the low-rank structure inherent in the data to estimate possible faults. Our multi-agent algorithm requires near-neighbor communications only and is also capable of jointly estimating the common low rank cloud profile and local shading of panels. To illustrate the workings of our algorithm, we perform experiments to detect shading faults in solar PV installations within a single ZIP code. Additionally, we also derive a Bayesian lower bound on the shading parameter's mean squared estimation error. The results are promising and show that we can successfully estimate the fraction of partial shading in solar installations that can usually go unnoticed." @default.
- W2936851271 created "2019-04-25" @default.
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- W2936851271 date "2019-05-01" @default.
- W2936851271 modified "2023-10-04" @default.
- W2936851271 title "Distributed Bayesian Estimation with Low-rank Data: Application to Solar Array Processing" @default.
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- W2936851271 doi "https://doi.org/10.1109/icassp.2019.8682854" @default.
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