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Smart Meters Integration in Distribution System State Estimation with Collaborative Filtering and Deep Gaussian Process

2022/09/30 by Yifei Xu, Guo Ye, Xu, Yifei +9
Computer Science · Engineering · #Energy Load and Power Forecasting #FOS: Electrical engineering #Image and Signal Denoising Methods #Systems and Control (eess.SY) #Water Systems and Optimization #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2209.15239

openalex publication_date 2022/09/30 · openalex created_date 2022/10/04 · openalex updated_date 2026/07/28

Abstract

The problem of state estimations for electric distribution system is considered. A collaborative filtering approach is proposed in this paper to integrate the slow time-scale smart meter measurements in the distribution system state estimation, in which the deep Gaussian process is incorporated to infer the fast time-scale pseudo measurements and avoid anomalies. Numerical tests have demonstrated the higher estimation accuracy of the proposed method.

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