A Collaborative State Monitoring Method for Clusters of Electrical Primary Equipment

Author:

Li Xiang1,Li Jing1,Yang Meijia1

Affiliation:

1. STATE NUCLEAR ELECTRIC POWER PLANNING DESIGN & RESEARCH INSTITUTE Co., Ltd,Renewable power branch,Beijing,China

Publisher

IEEE

Reference8 articles.

1. Outlier detection for sliding window of multi-variable time series[J];Hui;Journal of Nanjing University of Information Science & Technology(Natural Science Edition),2014

2. An improved sliding window prediction‐based outlier detection and correction for volatile time‐series

3. Comparison of Two Data Cleaning Methods as Applied to Volatile Time-Series

4. Comparison of Two Data Assimilation Methods for Improving MODIS LAI Time Series for Bamboo Forests

5. Estimating bamboo forest aboveground biomass using EnKF-assimilated MODIS LAI spatiotemporal data and machine learning algorithms[C];Harika

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