论文标题
通过协作过滤和深度高斯流程中的分配系统估算中的智能电表集成
Smart Meters Integration in Distribution System State Estimation with Collaborative Filtering and Deep Gaussian Process
论文作者
论文摘要
考虑到国家分配系统的国家估计问题。在本文中提出了一种协作过滤方法，以在分配系统状态估计中整合缓慢的时间尺度智能仪表测量值，在该估计中，将深度高斯过程合并以推断快速的时间尺度伪测量测量并避免异常。数值测试表明该方法的估计精度更高。
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.
